{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a63c0e19-3902-44ee-9b02-ba7ecfdb5268",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "forest mouse worm  hamster poppy beaver cup   tulip forest clock house plate elephant motorcycle train elephant keyboard couch orchid house maple_tree tank  shrew table cup   pine_tree cloud possum shark skunk chimpanzee lobster\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "from useful_tools import *\n",
    "import torch.optim as optim\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "from chao_kk import *\n",
    "from torch.optim import lr_scheduler\n",
    "from einops import rearrange\n",
    "\n",
    "\n",
    "\n",
    "batch_size = 32\n",
    "trainloader, testloader, classes = get_dataLoader_RandAugment(batch_size)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5     # unnormalize\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
    "    plt.show()\n",
    "dataiter = iter(trainloader)\n",
    "images, labels = next(dataiter)\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print(' '.join(f'{classes[labels[j]]:5s}' for j in range(batch_size)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0a20afd9-e695-4f86-b63b-3c0806770d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "def padding_size(dilation, kernel_size):\n",
    "  return dilation * (kernel_size - 1) // 2\n",
    "\n",
    "def conv3x3(in_channel, out_channel, stride, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 3, stride = stride, padding = padding_size(dilation, 3), bias = False, dilation = dilation)\n",
    "\n",
    "def conv1x1(in_channel, out_channel, stride = 1, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 1, stride = stride, padding = 0, bias = False, dilation = dilation)\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cc3fa817-b8be-4772-8809-ab82c868cb4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "class CSwinAttention(nn.Module):\n",
    "    def __init__(self, dim, num_heads, window_size, split_size=None):\n",
    "        super(CSwinAttention, self).__init__()\n",
    "        self.dim = dim\n",
    "        self.num_heads = num_heads\n",
    "        self.window_size = window_size\n",
    "        self.split_size = split_size if split_size is not None else window_size\n",
    "\n",
    "        self.qkv = nn.Linear(dim, dim * 3, bias=False)\n",
    "        self.proj = nn.Linear(dim, dim)\n",
    "\n",
    "        self.attention = nn.MultiheadAttention(embed_dim=dim, num_heads=num_heads, batch_first=True)\n",
    "\n",
    "    def forward(self, x):\n",
    "        B, H, W, C = x.shape\n",
    "        x = rearrange(x, 'b h w c -> b (h w) c')\n",
    "        qkv = self.qkv(x).chunk(3, dim=-1)\n",
    "        q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> b h n d', h=self.num_heads), qkv)\n",
    "        \n",
    "        # Window partition\n",
    "        q_windows = q.reshape((B, H // self.window_size, self.window_size, W // self.window_size, self.window_size, -1))\n",
    "        k_windows = k.reshape((B, H // self.window_size, self.window_size, W // self.window_size, self.window_size, -1))\n",
    "        v_windows = v.reshape((B, H // self.window_size, self.window_size, W // self.window_size, self.window_size, -1))\n",
    "\n",
    "        # Attention within each window\n",
    "        attn_output = []\n",
    "        for i in range(H // self.window_size):\n",
    "            for j in range(W // self.window_size):\n",
    "                q_win = q_windows[:, i, :, j, :, :].reshape(B, self.window_size**2, -1)\n",
    "                k_win = k_windows[:, i, :, j, :, :].reshape(B, self.window_size**2, -1)\n",
    "                v_win = v_windows[:, i, :, j, :, :].reshape(B, self.window_size**2, -1)\n",
    "                attn_out, _ = self.attention(q_win, k_win, v_win)\n",
    "                attn_output.append(attn_out.reshape(B, self.window_size, self.window_size, -1))\n",
    "\n",
    "        attn_output = torch.cat([torch.cat(attn_output[i * (W // self.window_size):(i + 1) * (W // self.window_size)], dim=2) for i in range(H // self.window_size)], dim=1)\n",
    "        attn_output = rearrange(attn_output, 'b h w c -> b (h w) c')\n",
    "        attn_output = self.proj(attn_output)\n",
    "        attn_output = rearrange(attn_output, 'b (h w) c -> b h w c', h=H, w=W)\n",
    "        return attn_output\n",
    "\n",
    "class CSwinTransformerBlock(nn.Module):\n",
    "    def __init__(self, dim, num_heads, window_size, mlp_ratio=4.0, dropout=0.0, attention_dropout=0.0):\n",
    "        super(CSwinTransformerBlock, self).__init__()\n",
    "        self.norm1 = nn.LayerNorm(dim)\n",
    "        self.attn = CSwinAttention(dim, num_heads, window_size)\n",
    "        self.norm2 = nn.LayerNorm(dim)\n",
    "        mlp_hidden_dim = int(dim * mlp_ratio)\n",
    "        self.mlp = nn.Sequential(\n",
    "            nn.Linear(dim, mlp_hidden_dim),\n",
    "            nn.GELU(),\n",
    "            nn.Linear(mlp_hidden_dim, dim),\n",
    "            nn.Dropout(dropout)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = x + self.attn(self.norm1(x))\n",
    "        x = x + self.mlp(self.norm2(x))\n",
    "        return x\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8a1eb695-87a9-4d22-a3f7-b19a22baf1e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ResBlock(nn.Module):\n",
    "  def __init__(self, in_channel, out_channel, stride, downsample = None, dilation = 1):\n",
    "    super(ResBlock, self).__init__()\n",
    "    self.conv1 = conv3x3(in_channel, out_channel, stride, dilation)\n",
    "    self.bn1 = nn.BatchNorm2d(out_channel)\n",
    "    self.conv2 = conv3x3(out_channel, out_channel, 1, dilation)\n",
    "    self.bn2 = nn.BatchNorm2d(out_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.downsample = downsample\n",
    "\n",
    "\n",
    "  def forward(self, x):\n",
    "    shortcut = x\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn1(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2(x)\n",
    "    x = self.bn2(x)\n",
    "    if self.downsample != None:\n",
    "      shortcut = self.downsample(shortcut)\n",
    "    x += shortcut\n",
    "    return x\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "  def __init__(self, classes, base_channel = 64):\n",
    "    super(ResNet, self).__init__()\n",
    "    # 老实说，我怕64、128……512通道实在是太慢了，通过base_channel来调节通道。感觉可以设置为16\n",
    "    self.base_channel = base_channel\n",
    "    self.conv1 = conv3x3(3, base_channel, 1)\n",
    "    self.bn = nn.BatchNorm2d(base_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.max_pool = nn.MaxPool2d(kernel_size = 2, stride = 2)\n",
    "      \n",
    "    self.conv2_x = self.init_ResBlock(base_channel * 1, base_channel * 1, stride = 1, block_num = 2, dilation = 1)\n",
    "    self.csblock2 = CSwinTransformerBlock(\n",
    "        dim = base_channel, num_heads = 16, window_size=4, mlp_ratio=4.0, dropout=0.1\n",
    "    )\n",
    "      \n",
    "    self.conv3_x = self.init_ResBlock(base_channel * 1, base_channel * 2, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.csblock3 = CSwinTransformerBlock(\n",
    "        dim = base_channel * 2, num_heads = 16, window_size=4, mlp_ratio=4.0, dropout=0.1\n",
    "    )\n",
    "      \n",
    "    self.conv4_x = self.init_ResBlock(base_channel * 2, base_channel * 4, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.csblock4 = CSwinTransformerBlock(\n",
    "        dim = base_channel * 4, num_heads = 16, window_size=4, mlp_ratio=4.0, dropout=0.1\n",
    "    )\n",
    "      \n",
    "    self.conv5_x = self.init_ResBlock(base_channel * 4, base_channel * 8, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.csblock5 = CSwinTransformerBlock(\n",
    "        dim = base_channel * 8, num_heads = 16, window_size=4, mlp_ratio=4.0, dropout=0.1\n",
    "    )\n",
    "    self.avg = nn.AvgPool2d(kernel_size = 2, stride = 2)\n",
    "    self.fc = nn.Linear(base_channel * 8 * 4, len(classes))\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2_x(x)\n",
    "    # x = x.permute(0, 2, 3, 1)\n",
    "    # x = self.csblock2(x)\n",
    "    # x = x.permute(0, 3, 1, 2)\n",
    "      \n",
    "    x = self.conv3_x(x)\n",
    "    # x = x.permute(0, 2, 3, 1)\n",
    "    # x = self.csblock3(x)\n",
    "    # x = x.permute(0, 3, 1, 2)\n",
    "      \n",
    "    x = self.conv4_x(x)\n",
    "    x = x.permute(0, 2, 3, 1)\n",
    "    x = self.csblock4(x)\n",
    "    x = x.permute(0, 3, 1, 2)\n",
    "      \n",
    "    x = self.conv5_x(x)\n",
    "    x = x.permute(0, 2, 3, 1)\n",
    "    x = self.csblock5(x)\n",
    "    x = x.permute(0, 3, 1, 2)\n",
    "      \n",
    "    x = self.avg(x)\n",
    "    x = x.view(x.size(0), -1)\n",
    "    x = self.fc(x)\n",
    "    return x\n",
    "\n",
    "  def init_ResBlock(self, in_channel, out_channel, stride, block_num, dilation):\n",
    "    downsample = None #这个好东西是用来把特征图宽高缩小的\n",
    "    if stride != 1 or in_channel != out_channel:\n",
    "      # 对于3*3的padding为1的卷积核，如果stride为1的话卷完后特征图宽高是不变的。\n",
    "      # 如果stride是2的话，那么宽高会变成原来的一半。\n",
    "      # 计算：out = (in/2 - 1/2)向下取整 + 1， 也就是in/2 - 1 + 1 = in / 2\n",
    "      downsample = nn.Sequential(\n",
    "                conv3x3(in_channel, out_channel, stride=stride),\n",
    "                nn.BatchNorm2d(out_channel)\n",
    "                )\n",
    "    return nn.Sequential(*[\n",
    "        ResBlock(in_channel, out_channel, stride, downsample = downsample, dilation = dilation) if i == 0 else\n",
    "        ResBlock(out_channel, out_channel, 1, dilation = dilation)\n",
    "        for i in range(block_num)\n",
    "    ])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1fc55884-0a41-46af-bbb8-bcc55be86d47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "net = ResNet(classes = classes, base_channel = 64).to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\n",
    "#optimizer = optim.Adam(net.parameters(), lr=0.001)\n",
    "print(device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "48493633-6b18-408a-a0cd-b770da9f40b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/24 轮训练\n",
      "----------\n",
      "train 损失: 3.7680 Top-1 准确率: 0.1398 Top-5 准确率: 0.3591\n",
      "val 损失: 3.4208 Top-1 准确率: 0.1884 Top-5 准确率: 0.4581\n",
      "\n",
      "第 1/24 轮训练\n",
      "----------\n",
      "train 损失: 3.0399 Top-1 准确率: 0.2566 Top-5 准确率: 0.5449\n",
      "val 损失: 2.9054 Top-1 准确率: 0.2767 Top-5 准确率: 0.5804\n",
      "\n",
      "第 2/24 轮训练\n",
      "----------\n",
      "train 损失: 2.6727 Top-1 准确率: 0.3263 Top-5 准确率: 0.6309\n",
      "val 损失: 2.5083 Top-1 准确率: 0.3551 Top-5 准确率: 0.6626\n",
      "\n",
      "第 3/24 轮训练\n",
      "----------\n",
      "train 损失: 2.4120 Top-1 准确率: 0.3805 Top-5 准确率: 0.6890\n",
      "val 损失: 2.3477 Top-1 准确率: 0.3950 Top-5 准确率: 0.7023\n",
      "\n",
      "第 4/24 轮训练\n",
      "----------\n",
      "train 损失: 2.2288 Top-1 准确率: 0.4164 Top-5 准确率: 0.7264\n",
      "val 损失: 2.3538 Top-1 准确率: 0.4145 Top-5 准确率: 0.7006\n",
      "\n",
      "第 5/24 轮训练\n",
      "----------\n",
      "train 损失: 2.0703 Top-1 准确率: 0.4510 Top-5 准确率: 0.7573\n",
      "val 损失: 1.9930 Top-1 准确率: 0.4801 Top-5 准确率: 0.7655\n",
      "\n",
      "第 6/24 轮训练\n",
      "----------\n",
      "train 损失: 1.9518 Top-1 准确率: 0.4775 Top-5 准确率: 0.7803\n",
      "val 损失: 2.0591 Top-1 准确率: 0.4576 Top-5 准确率: 0.7605\n",
      "\n",
      "第 7/24 轮训练\n",
      "----------\n",
      "train 损失: 1.8456 Top-1 准确率: 0.5015 Top-5 准确率: 0.7987\n",
      "val 损失: 1.9025 Top-1 准确率: 0.4896 Top-5 准确率: 0.7863\n",
      "\n",
      "第 8/24 轮训练\n",
      "----------\n",
      "train 损失: 1.7610 Top-1 准确率: 0.5228 Top-5 准确率: 0.8115\n",
      "val 损失: 1.7878 Top-1 准确率: 0.5242 Top-5 准确率: 0.8064\n",
      "\n",
      "第 9/24 轮训练\n",
      "----------\n",
      "train 损失: 1.6880 Top-1 准确率: 0.5386 Top-5 准确率: 0.8247\n",
      "val 损失: 1.7760 Top-1 准确率: 0.5257 Top-5 准确率: 0.8088\n",
      "\n",
      "第 10/24 轮训练\n",
      "----------\n",
      "train 损失: 1.6178 Top-1 准确率: 0.5525 Top-5 准确率: 0.8381\n",
      "val 损失: 1.6882 Top-1 准确率: 0.5457 Top-5 准确率: 0.8253\n",
      "\n",
      "第 11/24 轮训练\n",
      "----------\n",
      "train 损失: 1.5641 Top-1 准确率: 0.5679 Top-5 准确率: 0.8464\n",
      "val 损失: 1.7551 Top-1 准确率: 0.5330 Top-5 准确率: 0.8195\n",
      "\n",
      "第 12/24 轮训练\n",
      "----------\n",
      "train 损失: 1.5161 Top-1 准确率: 0.5780 Top-5 准确率: 0.8535\n",
      "val 损失: 1.6536 Top-1 准确率: 0.5593 Top-5 准确率: 0.8345\n",
      "\n",
      "第 13/24 轮训练\n",
      "----------\n",
      "train 损失: 1.4676 Top-1 准确率: 0.5920 Top-5 准确率: 0.8627\n",
      "val 损失: 1.6433 Top-1 准确率: 0.5600 Top-5 准确率: 0.8377\n",
      "\n",
      "第 14/24 轮训练\n",
      "----------\n",
      "train 损失: 1.4094 Top-1 准确率: 0.6026 Top-5 准确率: 0.8711\n",
      "val 损失: 1.6033 Top-1 准确率: 0.5680 Top-5 准确率: 0.8399\n",
      "\n",
      "第 15/24 轮训练\n",
      "----------\n",
      "train 损失: 1.3691 Top-1 准确率: 0.6141 Top-5 准确率: 0.8773\n",
      "val 损失: 1.5626 Top-1 准确率: 0.5791 Top-5 准确率: 0.8476\n",
      "\n",
      "第 16/24 轮训练\n",
      "----------\n",
      "train 损失: 1.3262 Top-1 准确率: 0.6268 Top-5 准确率: 0.8826\n",
      "val 损失: 1.4678 Top-1 准确率: 0.5985 Top-5 准确率: 0.8618\n",
      "\n",
      "第 17/24 轮训练\n",
      "----------\n",
      "train 损失: 1.2947 Top-1 准确率: 0.6342 Top-5 准确率: 0.8883\n",
      "val 损失: 1.5748 Top-1 准确率: 0.5849 Top-5 准确率: 0.8495\n",
      "\n",
      "第 18/24 轮训练\n",
      "----------\n",
      "train 损失: 1.2564 Top-1 准确率: 0.6412 Top-5 准确率: 0.8938\n",
      "val 损失: 1.4781 Top-1 准确率: 0.6041 Top-5 准确率: 0.8587\n",
      "\n",
      "第 19/24 轮训练\n",
      "----------\n",
      "train 损失: 1.2206 Top-1 准确率: 0.6521 Top-5 准确率: 0.8986\n",
      "val 损失: 1.4419 Top-1 准确率: 0.6081 Top-5 准确率: 0.8734\n",
      "\n",
      "第 20/24 轮训练\n",
      "----------\n",
      "train 损失: 1.1884 Top-1 准确率: 0.6606 Top-5 准确率: 0.9036\n",
      "val 损失: 1.5804 Top-1 准确率: 0.5899 Top-5 准确率: 0.8551\n",
      "\n",
      "第 21/24 轮训练\n",
      "----------\n",
      "train 损失: 1.1600 Top-1 准确率: 0.6656 Top-5 准确率: 0.9084\n",
      "val 损失: 1.3919 Top-1 准确率: 0.6253 Top-5 准确率: 0.8765\n",
      "\n",
      "第 22/24 轮训练\n",
      "----------\n",
      "train 损失: 1.1292 Top-1 准确率: 0.6746 Top-5 准确率: 0.9111\n",
      "val 损失: 1.4708 Top-1 准确率: 0.6135 Top-5 准确率: 0.8653\n",
      "\n",
      "第 23/24 轮训练\n",
      "----------\n",
      "train 损失: 1.1038 Top-1 准确率: 0.6819 Top-5 准确率: 0.9150\n",
      "val 损失: 1.4581 Top-1 准确率: 0.6164 Top-5 准确率: 0.8725\n",
      "\n",
      "第 24/24 轮训练\n",
      "----------\n",
      "train 损失: 1.0763 Top-1 准确率: 0.6874 Top-5 准确率: 0.9174\n",
      "val 损失: 1.3876 Top-1 准确率: 0.6312 Top-5 准确率: 0.8773\n",
      "\n",
      "训练完成，耗时 34m 12s\n",
      "最佳验证集准确率: 0.631200\n"
     ]
    }
   ],
   "source": [
    "#loss_record, net = train(trainloader, net, optimizer, criterion, device, epoch_num = 10, save_model = False, testloader = testloader)\n",
    "scheduler = lr_scheduler.StepLR(optimizer, step_size=50, gamma=0.1)\n",
    "net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs) = train_model(trainloader, net, criterion, optimizer, device, scheduler, num_epochs=25, testloader = testloader)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de27fec9-b423-4c34-801b-cdbd8b900ee8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5b42cfa9-4d57-40fd-8d22-928dc18efdbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_cpu_numpy(tensor):\n",
    "    return tensor.cpu().numpy()\n",
    "def to_cpu(list_):\n",
    "    if isinstance(list_, list):\n",
    "        return list(map(to_cpu_numpy,list_))\n",
    "    else:\n",
    "        return to_cpu_numpy(list_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "aee71f6c-d1e2-47b1-9a2a-2846eb96134d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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zmpnixwThxz7OLs/+zaG4h8mjpj3K4SA8zBZW6/nhcDzAM0ChuDQrBegtzM/Lg36xgazbn8+y3TlcPkQBuoiIiIi4V1hYGBaLhYyMjFrLMzIyiIqKqneb8PBwPvvsM8rLy8nJyaFTp07cd999JCYmNrifadOmMXXq1JrnhYWFxMXFNc1BiIiIyO9W5ayqM0O81mzxo5YVVv62b5Id7il+7Kzwo2eOHw7IA7wC1D5FWg0F6G4wMin0qABd/2EQEREREffy9PRk8ODBLFy4kAkTJgDgdDpZuHDhcWcVe3t7ExMTg91u53//+x9XXHFFg2O9vLzw8vJqytJFRETkBDicDvIq8sgszSSrNIvMsur70kyyy7KN5WVZ5JTl4OLEv73kYfKoCcVrzRg/KiA/vEw9xaWtUoDuBsmJYbzy426W7cnB5XLpayYiIiIi4nZTp05l0qRJDBkyhGHDhjFjxgxKSkqYPHkyANdddx0xMTE8/fTTAKxYsYLU1FQGDBhAamoqjz76KE6nk7/97W/uPAwREZEOxelykl+RXxOGZ5Vl1YTkWWVZNWF5TlkODlfD1yk5msVkqROAHz1DXBfalI5GAbobDO4SjKfFTFpBOXtzSkkI83V3SSIiIiLSwV155ZVkZWXx8MMPk56ezoABA/j2229rLiy6f//+Whe5LC8v58EHH2TPnj34+flx3nnn8e677xIUFOSmIxAREWlfSu2lZJZmklGaUev+6BnkWWVZVDmrTuj1zCYzod6hhPuEE2GLINwnnHBbuPHcJ6LmcbBXMBazpZmPTqTtUIDuBjZPCwM6B7EyJZdlu3MUoIuIiIhIq9DYhSAXLVpU6/npp5/Oli1bWqAqERGR9sXlctW0U8koyagTkB9eXmQvOuHXDPEOqQnBI3yOCsePeh7iHYKHWVGgyG+l3xo3GZkUysqUXJbuzubq4Z3dXY6IiIiIiIiIiPxOdoe9po1Kemk6mSWZ9c4itzvtJ/R6vlZfInwiiPCJINInkkifyFoBeYRPBKG2UKxmazMfmUjHpQDdTZITQ5nBTparD7qIiIiIiIiISKtW4agguyybrNIs4766v/jhx4fX5ZTnnNDrmTDVzBqP9D0SjB977+fp18xHJiLHowDdTQZ0DsLbaia7uJKdmcV0j/R3d0kiIiIird5PP/3EzTffjLe3d63lTqeT008/nZUrV1JRUVFnu+LiYjZv3syMGTN499138fCofRpcWVnJAw88wIgRIxg/fjw+Pj51XiMhIYG5c+c27QFJu3K89+esWbMYPnx4o+9RLy+vWsvj4+PZt29fg/ucNGkSb7/9dpPUf7S77rqLJUuWsGnTJnr27Mn69esbHf/ss8/+7t+tiy++mJSUlDrrS0tL+eabb0hKSvpdxyQiciyXy0WJvaRWAF7zuCyL7NLqoLwsi6LKE2+nYjVb68wYPzYoD7eFY7Vo1rhIW6AA3U28PCwM6RLC4l3ZLNudowBdRERE5ASUlZUxceJEHn300VrL9+7dy3333YfJZKo36BszZozRbzQvj5dffpkxY8bUWv/2229TVFSE3W5n5MiR9QaSI0aMaLoDkXbpeO9P4Ljv0WOtWrUKh8MBwNKlS7n00kvZvn07AQEBANhstqY9iKP88Y9/ZMWKFWzYsOG4Y5vidystLa3en83111+P3X5irQ5ERA6rdFSSUZJBWkkaaSVpNTPGDwfkh29lVWUn/JqeZk/CfcIJs4URbqu+r26lcvhxhE8EwV7B6jQgchRXVRVVubk4cnOpys7BkZON2d8f/zPPdHdpJ0QBuhslJ4WyeFc2S3dnM2lkvLvLERERERGRViY8PLzmcUhICAAREREEBQUBMHv2bKZPn86BAwdISEjgwQcf5Nprr63ZxmQy8eqrr/LFF1+waNEioqOjee6557jssssa3e9LL70EQFZW1gkF6CIiLcnpcpJbnktacRrppemkFRsheUZpRs3jE22lAuBn9asJwI8Ox48NyAM8AxSMSw2X3U7RokXkz5lD2eo1eMbH4923L7Z+ffHu0xevrkmYLBZ3l9lsnJWVOHJyqMrOoSon+5jHuVTlGEF5VXYOjvx8OGaigG3wYAXocnzJSaEALN+Ti9PpwmzWX8IiIiLiRi4X2Evds2+rD+g/pNIYvT/rmDt3LlOmTGHGjBmMHTuWefPmMXnyZGJjYznjjDNqxj300EM888wzzJw5k3fffZeJEyeyceNGevbs6cbqRUQaVmIvIb0kvWb2eHpJ+pHnxUZQfiIX4fS2eBPlG0WUb1RN25SjQ/JwWzhhPmHYPJrv2zxSl7O0lNLVqynfshXvPn3wHTEck0fbiSgrDx4kf84n5H/6PxxZ2TXLy7dsoXzLFvI/+ggAk82Gd+9e2Pr0xbtvH2x9+2KNi2vVH8K4KiuxZ2RQlV1/IF6Vk40jO4eqnBycRSfe1ggAsxlLcDAeoaF4hIXidUrbOQ9pO+/OdqhvTCC+nhYKyuxsSSukT0ygu0sSERGRjsxeCk91cs++7z8Enr7u2be0DXp/1jF9+nSuv/56brvtNgCmTp3K8uXLmT59eq0A/fLLL+eGG24A4IknnmD+/PnMmjWLV1991S11i4hUOirZX7iflMIU9hXuqwnHD9+fSL9xs8lMmC2MaN/omlukb2St54Fega06rOwoXE4nFdu2UbxkCSVLllK2Zg2uo1pzWYKD8T/nHALGj8dn6JBWOWvbZbdT9MOP5H/8MSVLltQst4SGEnTJxfifMw57airlmzZStmEj5Zs34ywpoWz1GspWrzkyPjAQ776HA/V+2Pr2weOob5s1+3G4XDjy87EfOEDlgQPYDxyk8sB+4/7gAarS0uvMFG+U1YpHSAgeoaFYwkLxCA3DIzQES2gYHmGhxvLqx5agoFb5Z3siFKC7kdViZlhCCD9uz2L5nhwF6CIiIiIicsK2bt3KTTfdVGvZqFGjmDlzZq1lycnJdZ4f7jU+fvx4fvnlFwC6dOnC5s2bm69gEelw8svzSSlMIaWg9u1g8UGcLmej2/p7+hPtG02Ub1S99+E+4VjNughna2XPyKRk6VJKliyhZOlSHLm5tdZ7dIrG1rsPpatX48jLI/+jj8j/6CMs4WEEnDOOgPPPwzZgACaz2U1HYKjct4/8Tz4h/9O5OHKOtAXyHTWKoCuuwP+MMZg8PQGw9e1DwLnjAONDg8qUFCNM37iRsk2bqNi6FUdBASWLF1OyeHHNa3lERWHr2wfv6kDdu08fLP4nf61EV2Ul9rQ0Kg8cxH7wAJX7DxiB+cGD2A8cwFlc3Oj2Ji8vPMLCjgnEqx+HhRqPw8LwCAnBHNgxPqRSgO5myUmh/Lg9i2W7c7jh1ER3lyMiIiIdmdXHmGnrrn2LNEbvz2bxr3/9i7Iy4wJ6VquCKBH57RxOB4eKD9UblOdV5DW4na/Vl8TARLoEdDFmjPsdmTke5RuFr7X1ffNHGuYsK6N09RojMF+yhIqdO2utN/v44DN8OL6jRuE7aiSe8fGYTCZcVVWUrFhB4TffUDR/AY6sbPLee4+8997DIyqKgHPPJeC88Xj37dtiQa2rspKihQvJ+/hjSpctr1luCQ8j6JJLCbrsUjzj4hp9DZPZjFdSEl5JSXDxhJrXLd++48gs9U0bqdi1m6r0dIrS0ymav6Bme8+EBGOWenX7F++ePTF7e9esd+Tn1w7IDx4wnh84gD0tDZyNf0DlERGBtXMcnrFxWONi8ezcGWtsLJ5xcVhCQztEKP5bKEB3s5FJYQCsSMmlyuHEw+LeT9ZERESkAzOZWmWbChFA78969OzZkyVLljBp0qSaZUuWLKFXr161xi1fvpzrrruu1vOBAwcCEBMT0zLFikibV2ovrTck31e4r9F+5NG+0SQEJhi3gISax2G2MIV0bZjL6aRix46awLx09RpclZVHBphMRn/zUSPxGzUKW//+NTO1j2by8MBv1Cj8Ro3C9fDDlCxbRuHX31C0YAFV6enkvv02uW+/jTU2loDx5xIwfjxePXs2y3unIiWF/DmfUPDZZ0dmzJtM+J46mqDLL8d/zBhMv+PDZpOnJ7a+fbD17UPwVVcB4CguoXzLZso3bqJs00bKN2zEnppKZUoKlSkpFH7xpbGxhwde3bthwkTlwYM4Cwsb35e3N55xsVgPB+SxcUZgHheHNSamVhgvx6cA3c16RgcQ4O1BYXkVmw4VMiAuyN0liYiIiIhIG/DXv/6VK664goEDBzJ27Fi+/PJLPv30UxYsWFBr3Jw5cxgyZAijR4/mvffeY+XKlbz55puNvvauXbsoLi4mPT2dsrKympYvvXr1wrOeAERE2o/88nx25e9iV/4u9hTsqQnKM0ozGtzGy+JFl4AudYLyLgFd8GnH3+I5msvlAqezzfZ4PhH2zExKly0zepkvXYYjO7vWeo/o6JrA3GfECDyCg3/T65s8PfE7/XT8Tj8dZ0UFJb/8YoTpixZhP3iQnH/+i5x//gvPLl3wP288AePH4929++86JmdlJUXfzyf/448pXbnyyLFERBB02aUEXXop1mb8sNni54vvsGH4DhtWs6wqN5fyTZtqtX9x5ORQsWVr7W3Dw/CM61wTlHt2jsMaF4c1NhaP8HB9QNWEFKC7mcVsYkRiKN9vyWDp7mwF6CIiIiIickImTJjAzJkzmT59OlOmTCEhIYG33nqLMWPG1Br32GOP8eGHH3LbbbcRHR3NBx98UGeW+rFuuOEGfvrpp5rnh2esp6SkEB8f39SHIiJuUGIvYXf+bnbl72Jn3s6a0Dy7LLvBbUK9Q4+E5IEJxAfEkxCYQLRvNBZz+w2OG2LPyKR0+TJKli2nZNkyqrKz8e7ZE9vAgfgMGoht4ECsUVHuLvOkOcvLa7dl2bGj1nqTjw++Q4cabVlGj8IzIaHJQluzlxf+Y8fiP3YszrIyin/6icKvv6H4p5+o3LePnNmvkTP7NTy7JhEwfjwB48/DKzHhhF+/Ys8e8j+eY8w2z8+v3qkZv1NPJejKK/A77TRMHu6JTT1CQvA77TT8TjsNMD6cqTp0iLLNmzF5eByZRe7TMT6cag0UoLcCyUlGgL5sdw63jenq7nJERERERKQVGjNmjDHD8Si33nort956a6PbderUie+///437WvRokW/tTwRaaUqHBWkFKTUCsl35e3iUEnD15WI8Yuha1BXEoMSSQxMrAnLA70CW7Dy1sdRVETpqlWULF1GyfJlVO7aXWdM+aZNlG/aRN677wLGxTJ9Bg6qCdW9und3WzDbGFdVFZX7D1CxaycVO3dStmYtpatX123L0qtXdR/zUfgMHFBvW5amZrbZjF7o556Lo7iE4h9/pPCbbyj55Rcqd+0me9bLZM96Ga9TTjHC9PPG19uj3FleTtH335P38ceUrV5Ts9wjKoqgyy4j6NJLsEZHN/vx/FYmkwlrTEyzzoSXxrW+39gO6HAf9NV786iscuLpoT7oIiIiIiIiInLi7E47BwoPsDN/Z01Ivit/F/uL9uN01X9BwXBbOF2DutI1uCvdgrrRNagrSUFJHabtyvE4KyspW7eekmVLKV22nLJNm8DhODLgcKA8MhmfESPwjIujbMNGytato3TdWiq2bafqUBqFh76i8KuvAONimt79++EzcCC2gYOwDeiPxd+/xY7J5XRiP5RGxc4dVOzcVR2Y76Jy9+7aYXk1j8hIfEePwnfkSHyTk/EICWmxWutj8fMl8MILCLzwAhyFhRQt/IHCb76mZOkyKrZtI2vbNrJefBHvvn2rZ6afi7O4mLw5cyj4/AucBQXGC5nN+I0ZQ9AVl+N36qntuvWO/H4K0FuB7pF+hPp6klNSya8H8xka796/jERERERaq8DAQObNm8e8efPqrBs3bhz5+fkMGTKk3m3NZjOxsbHcc8899a6///77sdlsbNq0qd7X6Nu37+8rXtq9470/AYKCghp9j7ZVTfG71bNnzwZ/NjabremKFWnjqpxVpBWnsSt/F7sLdtfMLE8pSGnwYp4BngF0CzYC8qNvQd5BLVt8K+dyOinfupXS5cspWbqM0jVrcJWX1xrj2aULPskj8E0eie/wYViCgmqv79yZwAvOB8BZUkLZhg2UrltH2dp1lK1fj7O4mNJlyyldttzYwGTCq1u32m1f4uJ+dysUl8tFVWZWzYxy47aLyl27cJaW1ruNyWbDq2tXvLp2xbtnT3xHjcQzMbHV9tK2BAQQdPEEgi6eQFVeHkULFlD0zTeULF9B+Uajf3jmc8/V2sajU3T1bPNLsUZGuqlyaWtMrmO/A9jOFRYWEhgYSEFBAQEBAe4up8bt76/lqw1p3D22O1PGdnN3OSIiItLOlZeXk5KSQkJCAt7e3u4up81r7OfZWs8/W4PGfjZ6j8qJ0PtE2iOXy0VBRQEHiw9ysOhgrfvUolTSStJwuBz1bmvzsNUOyatnlofZwlptCOpOLpcL+4ED1S1ZllO6fPmRftjVLGFh+I4YgW9yMr7JI7B26nTy+3M4qNi1m7J16yhbt5bSteuwHzhQZ5wlLAyfgQOMGeoDB+DduzfmRlqlVOXlGQH5rl21wvKa2dbHMFmteCYm4tWtmxGYd++GV7duWGNiMLXhD3MPq8rJoej77yn8+htKV68Gsxn/M88g6Ior8B05UrPNO7CTPS/XDPRWIjkxlK82pLFsTzZTUIAuIiIiIiIi0l5VOCpILU7lYNHBmvuax8UHKbGXNLq91WwlMTCRrsFGUN4tqBtdg7sS7RuN2dT2A9DmVJWdTcnyFZQsX0bp0mXYD9XuBW/28cFn2DB8k0fgk5yMV7duTfbhg8liwbtHd7x7dCd44pVGPVlZxgz1despW7uWsi1bcGRnUzR/AUXzFxjbeXri3acPPoMG4t23H47CAip27qRy1y7Kd+7EkdXAhV/NZjy7dDGC8ppbVzw7d8ZktTbJMbVGHqGhBF91FcFXXUVVbi6YTHgEB7u7LGnDFKC3EiOTQgFYuy+fcrsDb6s+DRMRERERERFpi5wuJ1mlWcas8WMD8qKDZJZlHvc1wm3hxPrHEusXS4x/jHHvF0OsfywRPhEKyk+As7IS+4EDVKakULpqNSXLl1OxfXvtQVYrtv79qmeYj8TWt0+Lhsse4eEEnHMOAeecY9RcUUH5pk1GH/W16yhbtw5HXp4Rrq9d2+DrWGNijoTk1TPKPRMSMHt5tdShtEru7tku7YNbA/TZs2cze/Zs9u7dC0Dv3r15+OGHGT9+fL3j3377bSZPnlxrmZeXF+XH9KNqixLCfIkM8CKjsIK1+/IY2TXM3SWJiIhIB+B01n9RMflt9HMUEemY8srzSClIqbntLdzLvsJ9HCo+RKWz7gUZj+bj4VMnID/8vJNfJ7w91JboRNSE5Pv2U7lvH5X792Hft4/Kvfuwp6VBPZ2LvU45paYli8/gwZh9fd1Qef3MXl74DB6Mz+DBhGK0mancu9eYob5uLWWbN+MRFFwrKPdKSmpVxyDS3rg1QI+NjeWZZ56hW7duuFwu3nnnHS666CLWrVtH7969690mICCA7Ud9WtheeniZTCZGJoUxd10qS3fnKEAXERGRZuXp6YnZbObQoUOEh4fj6enZbs6rWpLL5aKyspKsrCzMZjOejfQnFRGRtqnKWcXBooM1AXlNYF6YQkFF/T2mASwmC1G+UTWheE1YXj2LPMgrSP/2niBXZSWVBw9SudcIyCv3VYfk+/YbIXkjH2SbfXywxnfB1rs3vsnJ+AwfjkdoaAtW//uYTCa8EhLwSkgg6JKL3V2OSIfk1gD9wgsvrPX873//O7Nnz2b58uUNBugmk4moqKiWKK/FJSeGMnddKsv25Li7FBEREWnnzGYzCQkJpKWlceiY3p/y2/n4+NC5c2fM7eDCWyIiHVVhZSF7C/bWmk2eUpDC/qL9VDmrGtyuk28nEgITSAhMID4gns4BnYnzjyPKNwoPszrnnqiakHxfdUC+f78RmO/bd8IhuWfnLnh2OXzrjGeXLlhCQ/VBhYj8Lq3mb3KHw8GcOXMoKSkhOTm5wXHFxcV06dIFp9PJoEGDeOqppxoM2wEqKiqoqKioeV5YWNikdTel5Oo+6L8eyKekogpfr1bzxyMiIiLtkKenJ507d6aqqgqHw+Huctosi8WCh4eH/nMuItIGOJwO0krS6s4mL0ghp7zhyWw2DxvxAfHEB8TXhOUJgQl0DuiMzcPWgkfQurgcDlzl5TjLynCWl+MsLTWel5bhLC/DVVaGs6wcZ1kDy8vLcBYUULn/gHExz0ZCcpOPz5FwvLMRjnvGG48tYWH6d1hEmo3bE9qNGzeSnJxMeXk5fn5+zJ07l169etU7tkePHvz73/+mX79+FBQUMH36dEaOHMnmzZuJjY2td5unn36axx57rDkPocnEhfgQG2zjYF4Zq/bmMqZHhLtLEhERkXbOZDJhtVqxtuDFskRERFpKbnkuazLWsCp9Fesy15FSkEKFo6LB8RG2CGMmeWB1UB5gBOWRvpHt4qKdLpcLV3k5jqIinMXFOIuKcBQW4SwuMpYVFeMoLsJZvcxZWlodepdXh97Vj0tLjfuKhn+WJ6MmJD8ckB89k1whuYi4idsD9B49erB+/XoKCgr45JNPmDRpEj/99FO9IXpycnKt2ekjR46kZ8+evP766zzxxBP1vv60adOYOnVqzfPCwkLi4uKa/kCayMikUD5efZBlu3MUoIuIiIiItCE//fQTN998M97etS/853Q6Of3005k1axbDhw+v9Q3Zw4qLi9m8eTNeXl61lsfHx7Nv374G9zlp0iTefvvtJqn/aPWFVB988AETJ06sd/ydd97JTz/9VKeNUXl5Oa+//jpAk/9sROqTU5ZTE5ivzljNrvxddcZYzVa6BHSpabmSEJhAYmAiXQK64Ofp54aqfxuXy4X94EEc+flGAF5UbATghUXG82IjCK+9rDosLyqCqobb0Zw0kwmTzYbZ2xuzzYbJ5o3Z23bksc0Hs7c3Jh9b3eW+vnjGxWLt3BmP8HCF5CLS6rg9QPf09KRr164ADB48mFWrVjFz5syak6zGWK1WBg4cyK5ddf9BPMzLy6tNnWglHw7Q1QddRERERKRNKSsrY+LEiTz66KO1lu/du5f77rsPMILp9evX19l2zJgxuFyuOstXrVpV02Jp6dKlXHrppWzfvp2AgAAAbLbmax3x1ltvce6559Y8DwoKanBsVlYWX3zxBfHx8bWWP/roo5SVlQE0+c9GBCC7LJvVGatZnW7cdhfsrjOmW3A3hkQOYUjkEHqG9KSTXycsZosbqj15VXl5lCxZSsnixZQsWUJVVtbve0GzGbO/PxY/v9r3Af6Y/fwx+/th8ffH7OtrhN3eNsw+RkBusvlgth0OyqvDcC8vBd8i0m65PUA/ltPprHfWQX0cDgcbN27kvPPOa+aqWk5yYhgAm1ILKCizE2jT16lFRERERDqq8PDwmschISEARERE1ITZs2fPZvr06Rw4cICEhAQefPBBrr322pptTCYTr776Kl988QWLFi0iOjqa5557jssuu+y4+w4KCiIqKqppD0jkd8ouy2Z1+mpWpa9iVcYqUgpS6ozpHtydoVFDGRI5hMGRgwn2DnZDpb+Pq6qKsg0bKFm8mOJfFlO+aRMc9UGSydMTS2hoTfBtBN4Bxr2ff60w3OJfHY77G8vNfv6YfX0UeIuInCC3BujTpk1j/PjxdO7cmaKiIt5//30WLVrEd999B8B1111HTEwMTz/9NACPP/44I0aMoGvXruTn5/P888+zb98+brjhBnceRpOKCvQmMcyXPdklrEzJ5exeke4uSURERETE7VwuF2VVZW7Zt83D1iqDprlz5zJlyhRmzJjB2LFjmTdvHpMnTyY2NpYzzjijZtxDDz3EM888w8yZM3n33XeZOHEiGzdupGfPno2+/u23384NN9xAYmIit9xyC5MnT26VPwdp3zJLM43Z5RlGaL63cG+t9SZMdQLzIO8gt9T6e9kPHaJ48WJKFi+hZNkynEVFtdZ7de+O7+jR+I0ehW3wYMxt6Nv2IiJtmVsD9MzMTK677jrS0tIIDAykX79+fPfdd5x99tkA7N+/v1YPvby8PG688UbS09MJDg5m8ODBLF26tMGLjrZVyUmh7MkuYenubAXoIiIiIiJAWVUZw98f7pZ9r7h6BT5WH7fsuzHTp0/n+uuv57bbbgNg6tSpLF++nOnTp9cK0C+//PKaSUdPPPEE8+fPZ9asWbz66qsNvvbjjz/OmWeeiY+PD99//z233XYbxcXF3HXXXc17UNLhZZRk1ITlazLW1BuYnxJyCoMjBzM0aiiDIwcT6BXonmJ/J2d5OaWrVlOy+BeKFy+hcnft9jPmwED8Ro3Ed9RofEePwhqpfEBExB3cGqC/+eabja5ftGhRrecvvvgiL774YjNW1DokJ4Xy3or9LNutPugiIiIiIlK/rVu3ctNNN9VaNmrUKGbOnFlrWXJycp3nh3uNjx8/nl9++QWALl26sHnzZsCYtX7YwIEDKSkp4fnnn1eALk0uvSS9Jixflb6K/UX7a60/HJgfnmE+KHLQbwrMXS4XFdu3U7RwIaUrVmKyeWONiMQjKhJrVBQeEZFYoyLxiIzE7O/frN+ycLlcVO7ebcwy/2UxpatX4zq6ha3ZjK1fP3xPHY3f6NF49+mDydK2erWLiLRHra4HusCIxFAAtqUXkVtSSYivp5srEhERERFxL5uHjRVXr3Dbvturf/3rXzUX+bRaG77+0vDhw3niiSeoqKjAS20j5CS5XC4OFh00LvqZsZo1GWtILU6tNcZsMhuBeeRQhkQZgXmAZ8Bv24/dTumqVRT98CPFP/yA/dChE9rO5OODNSICj6gorJFGqO4RFVn9OAprVCSWkBBMR31T/ngchYWULF1GyZLFFC9eQlVaWq31HlFR+I4ehd/o0fgmJ2MJbJuz6UVE2jMF6K1QmJ8XPSL92Z5RxPI9OZzXN9rdJYmIiIiIuJXJZGqVbVTcqWfPnixZsoRJkybVLFuyZEmdFpfLly/nuuuuq/V84MCBAMTExJzQvtavX09wcLDCc/lNXC4XKYUpNT3M12SsIbM0s9YYi8lCz5CeDI4czLDoYQyMGIi/p/9v3pejsJDiX36heOEPFP/yS63+4SZvb3xHjcLvtNPAbKIqI5OqjHTsGRlUpWdQlZGBo6AAV2kplXv3Url3b8M7slqxhocfCdcjIo3AvXoWuzUykqqcnJpZ5mUbNoDDcaQWT098hgzB99RT8Rs9Cs+uXXVtARGRVk4BektyuaCiCLyP/+l5clIo2zOKWLZbAbqIiIiIiNT117/+lSuuuIKBAwcyduxYvvzySz799FMWLFhQa9ycOXMYMmQIo0eP5r333mPlypWNttP88ssvycjIYMSIEXh7ezN//nyeeuop7rnnnuY+JGnjnC4nO/N2siZjTU1gnlueW2uMh9mDvmF9GRw5mCGRQxgQMQBfq+9J7c+emmrMMv/xB0pWroKqqpp1ltBQ/M4Yg/+ZZ+GbPAKzrfFvkjjLyqjKyMB+TLhuz0g3Avf0dKqys8Fux37o0AnPagfwTEw0Zpmfeio+Q4YctxYREWldFKC3lN0/wFd/gcg+cOW7xx2enBTK20v3snR3dgsUJyIiIiIibc2ECROYOXMm06dPZ8qUKSQkJPDWW28xZsyYWuMee+wxPvzwQ2677Taio6P54IMP6sxSP5rVauWVV17h7rvvxuVy0bVrV1544QVuvPHGZj4iaWuqnFVsz9vO6nQjLF+buZaCioJaY7wsXvQL78eQyCEMjhxMv/B+J90WyeVyUb55C8U//EDRDz9QsW1brfWeSUn4n3kGfmeeia1fv9/UP9xss+EZH49nfHzD+7fbqcrOxp6eftQsdiNct2cYM9mrMjIweXnhm5yM7+jR+I0ehfUEv+khIiKtkwL0luIbDrl7oOAglOWBLbjR4SMSQjGZYHdWCZmF5UQEeLdQoSIiIiIi0hqNGTMGl8tVa9mtt97Krbfe2uh2nTp14vvvvz/h/Zx77rmce+65J1WjtG92p53N2ZtrZpivy1xHib2k1hibh42BEQNrZpj3CeuDp+Xkr+vlrKykdMVKin5YSPEPP1KVkXFkpdmMbdBA/M88C/8zz2g0/G4KJqsVa3Q01uiGvyXucjrBZFJbFhGRdkQBekuJ7AMRvSBzC2z5HAZf3+jwQB8rvTsFsCm1kGV7crhogD6xFhERERERkZZT4ahgY9bGmnYsv2b9SllVWa0x/lZ/BkYOZEjkEIZEDuGU0FOwmhu+IO2JcOTnU/zzzxT98CMlv/yCs+RISG/y8cFv1Cj8zjwTvzGn4xHc+OS0lvZbLjAqIiJtgwL0lmIyQb8rYcEj8OtHxw3QAZITQ40AfbcCdBERERGR1i4wMJB58+Yxb968OuvGjRsHQFBQEEOGDKl3e3MbDt6SkpK47LLL6l13+Ng76s+mLSmsLGR95nrWZqxlbeZaNmVvwu601xoT5BXE4MjBNTPMuwd3x2I+8VYpDak8cMBozbLwB0rXrKl14U2P8HD8zjgD/7POxGfECMy6mK2IiLQgk+vY7wC2c4WFhQQGBlJQUEBAwPEv5tmkClLhxd6AC6ZsgOAujQ7/cVsmk99eRecQH37+2xktU6OIiIiINCm3nn+2co39bMrLy0lJSSEhIQFvb7UzlPrpffL7ZJVmsSZzjRGYZ6xlR94OXNSOCMJsYTVh+eCIwST4xmEqK8dZWoqzrMy4Ly3DWVaK6/Cykur7slKcpaW4jl5WPcZVVlprmauiotZ+vbp1w++sM/E/80y8+/TRzG4REfndTva8XDPQW1JgDCScCik/w8aP4bS/Njp8aEIIFrOJ/bmlHMwrJTbYp4UKFREREZGO6JVXXuH5558nPT2d/v37M2vWLIYNG9bg+BkzZjB79mz2799PWFgYl112GU8//bSCTJFWyOVysb9oP2sz1tZc8PNA0YE64zr7d2ZQ5CCGWrvRe0025nnLqcpYhbPsZ6rKythZVdU8BVos+AwZUnMRUM+4uObZj4iIyG+kAL2l9ZtoBOgbPoZT7zFauzTAz8uDfrGBrNufz7LdOVw+RAG6iIiIiDSPjz76iKlTp/Laa68xfPhwZsyYwbhx49i+fTsRERF1xr///vvcd999/Pvf/2bkyJHs2LGD66+/HpPJxAsvvOCGIxCRozmcDnbk7WBtZnVgnrGWnPKcWmNMmOgR0oNBEYMYFDmIQUF98Fq+kYL/fEbx4rlUHtVG5VgmqxWzjw8mHx/MPj6YbTbj5uODycdWvax6XfVzk81WZ9nhbSxBQZh9fZv7xyIiIvKbKUBvaT0vhK+mQvYOOLQOYgY1Ojw5MdQI0PfkcPkQfQIvIiIiIs3jhRde4MYbb2Ty5MkAvPbaa3z11Vf8+9//5r777qszfunSpYwaNYqrr74agPj4eK666ipWrFjRonWLiKHCUcGm7E3GDPPMNfya+SvF9uJaY6xmK33D+hphecQgBkQMwM/qR/lGIzTP/eoRnAUFNeNtAwYQOGEC3n37VIfeR4Jyk/X3XShURESkrVCA3tK8A+CU82HT/2DDR8cN0EcmhfHqot0s252Dy+XC1MiMdRERERGRk1FZWcmaNWuYNm1azTKz2czYsWNZtmxZvduMHDmS//73v6xcuZJhw4axZ88evv76a6699toG91NRUUHFUX2OCwsLm+4gRDqYsqoyVqevZm2m0b98Y/bGOhf89LP60T+iP4MjBjMochB9wvrgZTEuwGnPyKDgnQ/J/OxzKnfvrtnGIyqKwIsuIvCii/BKTGjRYxIREWmNFKC7Q78rjQB94ydwzpNgafiT+8FdgrFaTKQVlLMvp5T4MH2lTURERESaVnZ2Ng6Hg8jIyFrLIyMj2bZtW73bXH311WRnZzN69GhcLhdVVVXccsst3H///Q3u5+mnn+axxx5r0tpFOpJKRyWLUxfz7d5vWXRgEWVVZbXWh3qHMihyEIMjBzMoYhDdg7tjMVtq1jvLyyn49isKPvuckiVLwOkEwOTtjf/ZZxN08QR8hg/HZLEgIiIiBgXo7pB0JviEQWk27P4Rup/T4FCbp4WBnYNZmZLL0t05CtBFREREpFVYtGgRTz31FK+++irDhw9n165dTJkyhSeeeIKHHnqo3m2mTZvG1KlTa54XFhYSpwsFijTK7rSzIm0F36Z8yw/7f6DIXlSzLto3mmFRw4zAPHIQnf071/nWssvlomz9egrmfkbhN9/gLDqyvW3wYIIunoD/uedi8fNrsWMSERFpSxSgu4PFCn0uhZWvG21cGgnQweiDvjIll2V7crh6eOcWKlJEREREOoqwsDAsFgsZGRm1lmdkZBAVFVXvNg899BDXXnstN9xwAwB9+/alpKSEm266iQceeACz2VxnGy8vL7y8vJr+AETaGYfTwZqMNXyz9xsW7FtAfkV+zboIWwTjEsZxbvy59A3r22CbT3taGgWff0HBZ59RuXdvzXKPTtEETZhA4EUX4dmlSzMfiYiISNunAN1d+l9pBOjbvoKKIvDyb3DoyKRQZi7cqT7oIiIiItIsPD09GTx4MAsXLmTChAkAOJ1OFi5cyB133FHvNqWlpXVCckt12weXy9Ws9bZWP/30EzfffDPe3t61ljudTk4//XRmzZrF8OHDa/WBP6y4uJjNmzfX+YAhPj6effv2NbjPSZMm8fbbbzdJ/Uer7/8cH3zwARMnTqx3/J133slPP/1U5z1RXl7O66+/DtDkP5v2xuly8mvWr3yb8i3f7/ue7LLsmnUh3iGc3eVsxieMZ2DEQMymuh9QATjLyihasICCuXMpWbYcqn8XTTYbAeecQ+DFE/AZNgxTPR9wiYiISP0UoLtLp0EQ2hVydsHWL2HA1Q0OHdA5CC8PM9nFFezKLKZbZMNhu4iIiIjIyZg6dSqTJk1iyJAhDBs2jBkzZlBSUsLkyZMBuO6664iJieHpp58G4MILL+SFF15g4MCBNS1cHnroIS688MKaIL2jKSsrY+LEiTz66KO1lu/du5f77rsPMILp9evX19l2zJgx9X7wsGrVKhwOBwBLly7l0ksvZfv27QQEBABgs9ma9iCO8tZbb3HuuefWPA8KCmpwbFZWFl988QXx8fG1lj/66KOUlRl9upv6Z9MeuFwutuRs4ZuUb/hu33ekl6TXrAvwDGBsl7GcG38uQ6OG4mGu/7/vLpeLsrVryZ87l6JvvsVZUlKzzmfoUAIvvhj/c87B4qd2oCIiIidDAbq7mEzQbyL8+CT8+mGjAbqXh4Wh8SEs3pXN0t05CtBFREREpMldeeWVZGVl8fDDD5Oens6AAQP49ttvay4sun///lqzix988EFMJhMPPvggqamphIeHc+GFF/L3v//dXYfQLoWHh9c8DgkJASAiIqImzJ49ezbTp0/nwIEDJCQk8OCDD3LttdfWbGMymXj11Vf54osvWLRoEdHR0Tz33HNcdtllx913UFBQgy185OS5XC525u/k25Rv+XbvtxwoOlCzztfqy5lxZ3JuwrkkRydjtVgbfB17Zib5n3xCwWefY9+/v2a5NTaWwAkTCLzo//DUNQZERER+NwXo7tTvciNAT/kZCg9BQKcGhyYnhbJ4VzbLducwaWR8y9UoIiIiIh3GHXfc0WDLlkWLFtV67uHhwSOPPMIjjzzSApUZoaOreiZzSzPZbK2yjeLcuXOZMmUKM2bMYOzYscybN4/JkycTGxvLGWecUTPuoYce4plnnmHmzJm8++67TJw4kY0bN9KzZ89GX//222/nhhtuIDExkVtuuYXJkye3yp9DW5FSkMK3e7/l25Rv2VOwp2a5t8Wb0+NOZ3z8eEbFjMLbw7uRV4HKg6nkvPkvCv73Ka7KSgBMPj4EnHsugRMuwmfIELVoERERaUIK0N0pOB46J8P+ZbBxDoya0uDQ5KRQAJan5OB0ujCbdeIqIiIiIh2Hq6yM7YMGu2XfPdauweTj45Z9N2b69Olcf/313HbbbYDRhmf58uVMnz69VoB++eWX11zs9YknnmD+/PnMmjWLV199tcHXfvzxxznzzDPx8fHh+++/57bbbqO4uJi77rqreQ+qnTlYdJDv9n7Ht3u/ZVvutprlVrOV0TGjGZ8wntNjT8fHevz3V8WePeS8/gYF8+ZBdVsf24ABBE28koCzz8bsqxYtIiIizUEBurv1u8II0Dd83GiA3jcmEF9PC/mldramF9K7U2ALFikiIiIiIq3N1q1buemmm2otGzVqFDNnzqy1LDk5uc7zw73Gx48fzy+//AJAly5d2Lx5M2DMWj9s4MCBlJSU8PzzzytAPwFFlUV8sfsLvt7zNRuyN9Qs9zB5MKLTCM6NP5czO5+Jv+eJteYs37KF7NffoOj772suCuo7ciSht9yMz9Ch+laAiIhIM1OA7m69L4Zv7oWMTZC+CaL61DvMajEzLCGEH7dnsWx3jgJ0EREREelQTDYbPdaucdu+26t//etfNRf5tFob7rc9fPhwnnjiCSoqKvDy8mqp8tqUPfl7eH/b+3yx+wvKqoyfqQkTw6KGMS5hHGM7jyXYO/iEX6907VqyX3uNkp9/qVnmN/Yswm6+GVvfvk1ev4iIiNRPAbq72YKh2zmwbR5s+KjBAB2MNi6HA/QbTk1swSJFRERERNzLZDK1yjYq7tSzZ0+WLFnCpEmTapYtWbKEXr161Rq3fPlyrrvuulrPBw4cCEBMTMwJ7Wv9+vUEBwcrPD+Gw+ngl9RfeG/reyxPW16zPCkwict7XM45Xc4h3Ce8kVeozeVyUbJ0KTmvvU7pqlXGQrOZgPPOI/SmG/Hu3r2pD0FERESOQwF6a9B/ohGgb5wDYx8Fs6XeYSOTwgBYmZJLlcOJh0UXhhERERER6aj++te/csUVVzBw4EDGjh3Ll19+yaeffsqCBQtqjZszZw5Dhgxh9OjRvPfee6xcuZI333yzwdf98ssvycjIYMSIEXh7ezN//nyeeuop7rnnnuY+pDajsLKQuTvn8sG2D0gtTgXAbDJzeuzpXNPzGoZFDftNrVVcTifFP/5I9muvU75xo7HQaiVowgRCb/gTnl26NMdhiIiIyAlQgN4adDsHvIOgKA32/gKJY+od1jM6gABvDwrLq9h0qJABcUEtWaWIiIiIiLQiEyZMYObMmUyfPp0pU6aQkJDAW2+9xZgxY2qNe+yxx/jwww+57bbbiI6O5oMPPqgzS/1oVquVV155hbvvvhuXy0XXrl154YUXuPHGG5v5iFq/XXm7eH/b+8zbM6+mTUuAZwCXdruUK0+5khi/E5vRf5irqorCb74l5403qNi5EwCTtzdBV1xO6B//iDUqqsmPQURERH4bBeitgYeX0Qt9zVvw60cNBugWs4kRiaF8vyWDZbtzFKCLiIiIiHQgY8aMwVV9EcnDbr31Vm699dZGt+vUqRPff//9Ce/n3HPP5dxzzz2pGtsjh9PBooOL+GDrB6xIX1GzvFtwN64+5WrOTzwfm8dv65PvrKyk4LPPyPnXm9j37wfA7OdH8NVXEzLpOjxCQ5v0GEREROTkKUBvLfpdaQToW7+A8/8BnvX3d0xOMgL0pbuzuXVMUgsXKSIiIiIi0jEUVBTw6c5P+Wj7R7XatJwZdyZX97yaIZFDflObFgBnWRn5c+aQ8+a/qcrIAMASFETI9ZMIvvpqLAEBTX4cIiIi8vsoQG8tOo+AoM6Qvx+2fw19L6t32OE+6Kv35lFZ5cTTQ33QRURERERag8DAQObNm8e8efPqrBs3bhwAQUFBDBkypN7tzea2e26flJTEZZfV/3+Yw8feGn429sxMCv73P8y+fniEhWIJC8MjLByP8DDMfn6YTCZ25O3g/a3v89Weryh3lAMQ6BVotGnpcSWd/Dr95v06iorIe/8Dct95B0duLgAeERGE/HEywVdcgVkXyBUREWm1TK5jvwPYzhUWFhIYGEhBQQEBre3T/R+ehJ+fN3qiXzOn3iEul4shTy4gp6SSObckMzQ+pIWLFBEREZHfolWff7pZYz+b8vJyUlJSSEhIwNvb200VSmv3W94nzpIS9l59DRXbt9e73uVppcDPTKZ3BQW+JvL9wBIaRq/uI+nX/TRskdF4hIfjERqK2XZiLVuq8vLIfecd8t57H2dREQDWuDhCb7iBwIsnYPb0/G0HLCIiIiftZM/LNQO9Nel3pRGg71oIxZngF1FniMlkYkRSKF9tSGPZ7hwF6CIiIiIiIsfhcjpJ/du9VGzfjiU0FJ9hQ3FkZVORlUlFZjoeZZWYKu0E5UKQsUX1llmw4HMy+bzW65n9/PAIDcUSXj2DPSzMuIWHYQkNxRIYSNG335H38ce4yoyLjXp2TSLs5psJGD8ek4f+Ky4iItJW6F/t1iSsG3QaBIfWwqZPYcQt9Q5LTjQC9KW7s7nrrG4tXKSIiIiISMvpYF+Yld/oRN8fWTNfonjhQkyensS9+gr74rx4f+v7fJ2ylQqHE0+7hc72QCaEnM4ZvoPwL66iKiubquxsqnKycRx+nJ2Nq6ICZ3ExlcXFsG/fcfft3bs3obfcjP9ZZ2Fqw216REREOioF6K1N/4lGgL7hwwYD9JFJxhXZ1+7Pp9zuwNtqackKRURERESandVqBaC0tBTbCbbLkI6ntLQUOPJ+qU/Bl/PIef11Y/w9k7nl0AusXb+2Zn3PkJ5c3fNqxieMx8vi1ej+XC4XzuJiqrKyceRUh+pHhetV2Vk4snOoys7GMzGR0D/9Cd/Ro37zxUZFRESk9VCA3tr0vgS+nQaH1kHWDgjvXmdIQpgvkQFeZBRWsHZfHiO7hrmhUBERERGR5mOxWAgKCiIzMxMAHx8fhZBSw+VyUVpaSmZmJkFBQVgs9U8qKtuwgbQHHgBg7bgEnnG9CZngYfJgbJexXNPzGvqH9z/h95bJZMLi74/F3x8SE5rseERERKT1UoDe2viFQ9exsPM72PARnPVQnSEmk4nkxFA+W3+IZXtyFKCLiIiISLsUFRUFUBOiixwrKCio5n1yLHt6Ovtvuw1XZSWru5t5fuB+LCYPruhxBX/q8ycifSNbuFoRERFpixSgt0b9rjAC9I0fwxkPQD198kYmhfHZ+kMs3Z3DX9xQooiIiIhIczOZTERHRxMREYHdbnd3OdLKWK3WBmee20uK2fina7Bl57AvHF66wERyzCj+OuSvdA3u2sKVioiISFumAL016nEeePpD/n44sBy6jKwzJLm6D/qvB/IpqajC10t/lCIiIiLSPlkslgaDUpFjrUlfzZ677qDP7gIKbfDe5M5MP/t+Tos9TW2ARERE5DfTJcBbI08f6PV/xuMNH9U7JC7Eh9hgG1VOF6v25rZgcSIiIiIiIq1PanEqf1n0F758aBJ9NhRQZYaDD1zDvyfN4/S40xWei4iIyElRgN5a9bvSuN88F+zl9Q5JTjRmoS/bk9NSVYmIiIiIiLQqpfZSXlr7Ev839/8o/PZbrvzFCUDIw9O49LIHsVqsbq5QRERE2jIF6K1V/Gjw7wTlBbDz+3qHjOxaHaDvVoAuIiIiIiIdi9Pl5PNdn3PB3Av458Z/EnOogju/MtaFXH89MROvc2+BIiIi0i4oQG+tzBbod7nxuIE2LsmJYQBsSi2gsFwXVRIRERERkY5hfeZ6rvnqGh5c8iBZZVn0dEbx1Jf+WO1OfE89lYi/3uPuEkVERKSdUIDemh1u47LjOyit2+c8KtCbxDBfnC5YuUd90EVEREREpH1LL0nnbz//jWu/uZZNOZvw8fDh7j538Mw3wViy8/FMTCTmhX9g0kVnRUREpIkoQG/NIntDZF9w2o1e6PUYkWS0cVmqNi4iIiIiItJOlVWV8er6V7lw7oV8k/INJkxc3PVi5l08j3Ef7aZiw0YsgYHEzX4Vi7+/u8sVERGRdkQBemvX7wrjvoE2LiOTdCFRERERERFpn1wuF1/t+YoL517I7F9nU+4oZ1DEID684EMeH/U4pv9+RuEXX4KHBzEzZ+LZpYu7SxYREZF2xsPdBchx9L0c5j8MB1ZAbgqEJNRaPSLRCNC3phWSW1JJiK+nO6oUERERERFpUpuyN/HMymf4NetXADr5dmLqkKmc0+UcTCYTRQsXkvXiiwBEPfgAviOGu7NcERERaac0A721C4iGxNONxxs+rrM6zM+LHpHGVxRXaBa6iIiIiIi0cZmlmTyw+AGu+uoqfs36FZuHjTsH3snnEz5nXPw4TCYT5du3k/rXv4HLRfDVVxM8caK7yxYREZF2SgF6W9Cv+mRww0fgctVZnaw+6CIiIiIi0saVV5XzxoY3uGDuBXyx+wsA/i/p/5h38Txu6ncT3h7eAFTl5nLw1ttwlZbikzyCyGn3ubNsERERaefUwqUt6HkBzLNB7m5IXQOxQ2qtTk4K5e2le9UHXURERERE2qT1meu5f/H9HCg6AED/8P7cO/Re+ob3rTXOWVnJwTvvwn7oENYunYl98UVMVqs7ShYREZEOQgF6W+Dlb4ToG+cYs9CPCdBHJIRiMsGuzGIyC8uJCPB2U6EiIiIiIiInzu6wM/vX2by56U2cLicRPhFMHTyV8xLOw2Qy1RrrcrlIf/QxytaswezvT9zs2ViCgtxTuIiIiHQYauHSVhxu47Lpf+Cw11oV6GOld6cAAM1CFxERERGRNmFP/h6u+foa/rnxnzhdTi5MvJDPLvqM8xPPrxOeA+S+8w4Fn34KZjMxL7yAV2KiG6oWERGRjkYBeluROAZ8I6A0B3YtrLM6OdHog75MfdBFRERERKQVc7qcvLf1Pa6YdwVbc7cS6BXI9NOn89SpT+Hv6V/vNsU//0zmc88DEHnfvfidOrolSxYREZEOTAF6W2HxgL6XGY83fFhn9cikMEAz0EVEREREpPXKKMnglvm38MzKZ6hwVDCy00g+/b9PGRc/rsFtKnbvJnXqX8DpJOjyywi+9toWrFhEREQ6OgXobUm/K4z77d9AeUGtVUMTQrCYTezLKSU1v8wNxYmIiIiIiDTs273fcskXl7AsbRleFi/uH34/r419jQifiAa3qcrL48Ctt+EsLsY2ZDBRDz1Ub3sXERERkeaiAL0tiR4AYT2gqhy2fFFrlZ+XB/1iAwG1cRERERERkdajsLKQ+365j7/+9FcKKwvpHdqbjy/8mKtOuarRMNxlt5P657ux79+PNSaG2JdewuTp2YKVi4iIiChAb1tMpiOz0Dd8VGf14T7oS3dnt2RVIiIiIiIi9VqRtoJLPr+Er/Z8hdlk5uZ+N/Puee+SGHj8C4CmP/UUpStWYPbxIXb2q3iEhLRAxSIiIiK1KUBvaw4H6HsXQ8HBWqsO90FfvjsHl8vV0pWJiIiIiIgAUOGo4PlVz3PD9zeQUZpBnH8c/xn/H+4YeAdWs/W42+e+/z75H3wIJhOdpk/Hu3v3FqhaREREpC4F6G1NUGfoMgpwwcY5tVYN7hKM1WLiUEE5Kdkl7qlPRERERNqsV155hfj4eLy9vRk+fDgrV65scOyYMWMwmUx1bueff34LViyt0bbcbUycN5H/bPkPAJd1v4xPLvyE/uH9T2j7kqVLyfj7UwBE/GUq/mee0Wy1ioiIiByPAvS2qN+Vxv2vH8FRM81tnhZGVLdx+c+yfe6oTERERETaqI8++oipU6fyyCOPsHbtWvr378+4cePIzMysd/ynn35KWlpazW3Tpk1YLBYuv/zyFq5cWguH08GbG9/kqq+uYlf+LkK8Q3j5zJd5JPkRfKw+J/QalXv3cvDPd4PDQeBF/0fIn/7UzFWLiIiINM7kcmOvj9mzZzN79mz27t0LQO/evXn44YcZP358g9vMmTOHhx56iL1799KtWzeeffZZzjvvvBPeZ2FhIYGBgRQUFBAQEPB7D8E9yvJhendwVMDNv0B0v5pVS3dlc/W/VuBpMfPT38YQHWhzX50iIiIi0mbOP4cPH87QoUN5+eWXAXA6ncTFxXHnnXdy3333HXf7GTNm8PDDD5OWloavr+8J7bOt/Gw6usr9+8l95z84y8swe3lh8vLG5OVpPPb0wuTlRQGlzEn5jB2le7FboFenAUwaeAOBfuFHxlbfah5bLLX24ygsZO+VE6lMScHWvz+d//MOZi8vNx21iIiItDcne+7p0Yw1HVdsbCzPPPMM3bp1w+Vy8c4773DRRRexbt06evfuXWf80qVLueqqq3j66ae54IILeP/995kwYQJr166lT58+bjgCN7EFQY9zYcvnxsVEjwrQk5NCGZ4QwoqUXF75cRdPTujrvjpFREREpE2orKxkzZo1TJs2rWaZ2Wxm7NixLFu27IRe480332TixImNhucVFRVUVFTUPC8sLDz5oqVFFHz1FekPP4Kz5PgtIi+s9WwtedxGXmMbeHhg9vSsCdZdlZU4cnPxiI4m9uVZCs9FRESkVXDrDPT6hISE8Pzzz/Oner6qd+WVV1JSUsK8efNqlo0YMYIBAwbw2muvndDrt5tZLtu+gg+vBr9ImLoVzEdmbyzfk8PEN5ZjtZj48Z4xxAaf2NclRURERKTptYXzz0OHDhETE8PSpUtJTk6uWf63v/2Nn376iRUrVjS6/cqVKxk+fDgrVqxg2LBhDY579NFHeeyxx+osb80/m47KWVZGxlNPkT/nEwBsgwfjd9ppuCoqcFVW4KyopLykgF9TV5NTkIa1CkLN/iT5dsazymSMq6jAWVmJq7y85jFVVY3u1+zjQ5f/vot3r14tcZgiIiLSgbTJGehHczgczJkzh5KSklon7UdbtmwZU6dOrbVs3LhxfPbZZy1QYSvT9WywBUNxBuxZBF3Pqlk1IjGUkUmhLN2dwys/7uLpS/o1/DoiIiIiIr/Tm2++Sd++fRsNzwGmTZtW63y+sLCQuLi45i5PfqOKnTtJnTqVip27wGQi9JabCb/9dkweR/77+PPBn3l4ycPk9MjBw+TF7QNvZ1zvyVjMlkZeGVxVVbgqK3FWVOCqrDwStFdU4qqswCsxEUtQUDMfoYiIiMiJc3uAvnHjRpKTkykvL8fPz4+5c+fSq4HZBunp6URGRtZaFhkZSXp6eoOv326/JurhCb0vgdVvwoaPawXoAHef3Z2lu5cxZ/VBbhvTlbgQzUIXERERkfqFhYVhsVjIyMiotTwjI4OoqKhGty0pKeHDDz/k8ccfP+5+vLy88FJbjlbL5XKR/8knZPz9KVzl5VjCw4h5/nl8R4yoGVNqL+Ufq//Bxzs+BiApMImnT32anqE9T2gfJg8PTB4emH30/xMRERFpG8zuLqBHjx6sX7+eFStWcOuttzJp0iS2bNnSZK//9NNPExgYWHNrVzNc+k807rd+CZW1exIOjQ/h1G5hVDldzPphpxuKExEREZG2wtPTk8GDB7Nw4cKaZU6nk4ULFzb47dDD5syZQ0VFBX/4wx+au0xpRo7iYg795R7SH3oYV3k5vqNHk/jZZ7XC8w1ZG7hi3hU14fkfev6BDy/48ITDcxEREZG2yO0BuqenJ127dmXw4ME8/fTT9O/fn5kzZ9Y7Nioq6jfPipk2bRoFBQU1twMHDjRp/W4VOxSCE8BeYvREP8bdZ3cH4H9rU9mbffyL/oiIiIhIxzV16lT++c9/8s4777B161ZuvfVWSkpKmDx5MgDXXXddrYuMHvbmm28yYcIEQkNDW7pkaSJlGzeRcsmlFH79NXh4EHHPX4h743U8qv9Mq5xVvLr+Va775jr2Fe4jwieCN85+g3uH3Yu3h7ebqxcRERFpXm5v4XIsp9NZq+XK0ZKTk1m4cCF//vOfa5bNnz+/0Vkx7fproiYT9LsSfnoGfv0Q+l1Ra/WgzsGc0SOcH7dn8dIPO3nhigHuqVNEREREWr0rr7ySrKwsHn74YdLT0xkwYADffvttTQvF/fv3YzbXnn+zfft2Fi9ezPfff++OkuV3crlc5P3nP2RM/wfY7Vg7dSLmhX9gGzCgZozT5eSRpY/wxe4vABifMJ4Hhj9AoFegm6oWERGRtsLpdJFXWkl6YTmZhRVkFJaTXlhORmEFscE2bj+jq7tLPCFuDdCnTZvG+PHj6dy5M0VFRbz//vssWrSI7777DjBmucTExPD0008DMGXKFE4//XT+8Y9/cP755/Phhx+yevVq3njjDXcehnv1u8II0Pf8CEUZ4F+7R/yfx3bnx+1ZfLYuldvP6EpSuJ+bChURERGR1u6OO+7gjjvuqHfdokWL6izr0aMHLpermauS5lCVl0fatPsprv5z9T/7bKKffAJL4JFg3OVy8fyq5/li9xdYTBaeGPUEFyZd6KaKRUREpDUprqgivaCczMJyMorKSS8wAvIjtwoyi8qxO+o/V+wfF6QA/URkZmZy3XXXkZaWRmBgIP369eO7777j7LPPBurOchk5ciTvv/8+Dz74IPfffz/dunXjs88+o0+fPu46BPcLTTJauRxcBZs+geTba63uHxfE2J4RLNiayUsLdzJz4kA3FSoiIiIiIq1B6erVpP7lHqoyMjB5ehJx370EX3UVJpOp1rg3NrzBf7f+F0DhuYiISAdRUeUgszr8rgnFi8rJKDBC8cOPSyodJ/yaYX6eRPh7ExngRVSgNxH+3iSG+zbjUTQtk6uDTRkpLCwkMDCQgoICAgIC3F1O01j5T/j6HojuDzf/XGf1ptQCLpi1GJMJ5t99Gl0j/N1QpIiIiEjH1C7PP5uIfjYty+VwkP3662S//Ao4nXjGxxPz4gt496x7EdCPtn3EkyueBODeoffyh166SKyIiEh74HK5yC2pZF9uKftzStmfW8q+nFL255awL6eUzKL6W2vXx9/Lg8hAIxiP9Pc2Hvt7ERlQ/TjAm3A/Lzw93H4ZTuDkzz1bXQ90OQm9L4Fv74O0XyFzG0ScUmt1n5hAxvWO5LvNGcxYsJOXrx7kpkJFRERERMQd7JmZHPrbvZQuXw5A4EUXEfXwQ5h9687++nrP1/x9xd8BuLnfzQrPRURE2pgqh5ND+eXsqw7FD1SH5PtyjcfFFVWNbu/pYT4mFK89e9y498LXq2NEyx3jKNs731Doejbs+AY2fAhjH60z5M9ju/Pd5gy+2pjGHemFnBKlGT4iIiIiIh1B8S+/cOje+3Dk5mLy8SHq4YcImjCh3rE/H/yZBxY/gAsXE3tM5PYBt9c7TkRERNyruKKqegZ5SfUM8iOzyVPzy3A4G246YjJBVIA3nUN86BLqQ5dQX+JCfOgS4kNciA/BPtY6rd06MgXo7UX/K6sD9Dlw5sNgrv3ViJ7RAZzfN5qvNqYxc8FOZv9hsJsKFRERERGRluCy28maOZOcf70JgNcppxDzwgt4JSbUO35txlr+sugvVLmqGJ8wnmnDp+k/zyIiIm5UWeVkb04JOzOK2ZFRxL6ckprWKzkllY1u6+lhNgLyEB86h/rUhOWdQ3yJDbbhbbW00FG0fQrQ24vu54JXABQehH1LIOHUOkOmjO3G15vS+GZTOpsPFdC7U6AbChURERERkeZWeTCVQ3/5C2W//gpA8NVXE3Hv3zB7edU7fnvudu5YeAfljnJGx4zm76P/jtnUOvqVioiItHd2h5O92SXsqA7Kd2Ua9ynZJVQ1MpM82MdK51DfWkF5lxBjRnmEvxdmsz4IbwoK0NsLqw16XQTr3oUNH9UboHeP9OeCfp348tdDzFiwk39eN8QNhYqIiIiISHMq/P570h58CGdhIeaAAKKffIKAc85pcPz+wv3cPP9miuxFDIwYyAtjXsBqtrZgxSIiIh3D0UH5zsyimpnljQXlvp4Wukb60z3Cj8Rwv+pZ5EZYHuCtf69bggL09qTflUaAvuVzOO95I1Q/xpSzuvHVhkPM35LBxoMF9I3VLHQRERERkfbAWVFB5rPPkvf+BwDY+ven0z/+gWdsTIPbZJZmctP8m8gpz6F7cHdePutlbB51/x8hIiIiJ87ucLIv58iM8p3VgXlKdgl2x/GD8u6R/nSNNO47BXqrpZqbKUBvT7qMgsA4KDgAmz6FgdfUGdI1wo+LBsQwd10qMxbs4M3rh7qhUBERERERaUoVe1JInTqVim3bAAi98QbC77oLk7XhmWkFFQXcPP9mUotTifOP4/WzXyfAM6ClShYREWnTyu0OsooqyC6uIK2g3JhNnlnEzowTD8q7RfrRLdJfQXkrpwC9PTGbYeifYMGjsGQm9L+qzsVEAe46qxtf/HqIhdsyWX8gnwFxQS1eqoiIiIiINI38uZ+R/sQTuEpLsYSE0OnZZ/E7dXSj25TaS7lt4W3syt9FhC2CN85+gzBbWAtVLCIi0jo5nC5ySirIKjrqVlz/86LyqkZf63BQ3i3Cj+4Kyts0BejtzZA/wi8vQPZ22PENnHJ+nSEJYb5MGBDD/9Ye5MX5O3jnj8PcUKiIiIiIiPxe6U89Rd5/3gXAJ3kEnZ59FmtERKPbVDoquXvR3WzI2kCAZwCvnf0asf6xLVGuiIhIi3O5XBSWVx03EM8qqiC3pIJGrtlZh6eHmXA/LyICvEgKPxKUd4vwo1OgTRfxbCcUoLc33oHGLPTFLxpBeo/zoJ5Pte46qyufrU/lpx1ZrNmXx+AuwW4oVkRERERETlbRjz8a4bnJRPiUuwi98UZMFkuj2zicDqb9Mo2lh5Zi87Dx6thX6RbcrYUqFhERaT4FpXZ2ZRWzO6uY3ZnV91klpOaXUVnlPOHXMZkg1NeLcP/qm99Rj495HuDtodnkHYAC9PZo+K2w7FVIXQ37lkB83a9vdgn15bJBsXy0+gAzFuzg3T8Nd0OhIiIiIiJyMhxFRaQ/+hgAIZMnE3bLLcfdxuVy8eSKJ/l+3/d4mD2YccYM+of3b+5SRUREmozT6eJQQRm7Mo1w/OiwPLu4stFt/b09jhuIh/t7EeLjiYelbktk6bgUoLdH/pEw8A+w+k1jJno9ATrAHWd25X9rD/LLzmxWpuQyLCGkhQsVEREREZGTkfnc81RlZODZpQvhd915Qtu8tO4lPtnxCSZMPHPqM4zsNLKZqxQRETk55XYHKdmHA/ISY2Z5ZjF7sosptzc8mzw60JukcD+Swn1JivAjKdyPziE+hPt74W1t/FtaIg1RgN5ejbwT1rwFuxZA2gaI7ldnSFyID1cMjeP9Fft5cf4OPrhphBsKFRERERGR36Jk2TLy58wBIPrJJzB7ex93m3c2v8O/Nv4LgIeTH2Zc/LhmrVFERORE5JZU1swi33VU25UDeaW4GuhFbrWYiA/1JSncj64RfiRFGI8Tw/3w81LUKU1P76r2KiQBel8Cmz6BJTPgsn/XO+z2M7ryyeqDLNuTw9Ld2YxMCmvZOkVERERE5IQ5S0pIe+hhAIKvvhqfoUOPu83cnXOZvno6AFMGTeGy7pc1a40iIiLHcrlcpBWUs+FgARtT89lwsIDNhwrJLWm47UqAt4cRkIf71cwm7xrhR1ywTS1WpEUpQG/PRv/ZCNA3z4UzH4SQxDpDYoJsXDk0jneX72PG/J0kJ4bq4gciIiIiIq1U5oyZ2A8exKNTNOFTpx53/MJ9C3l02aMAXN/7ev7U50/NXKGIiAhkFJaz8WABG1IL2Hgwn42pBQ32KI8JspEU4UfX8COzyZPC/Qjz81RGJa2CAvT2LKovdD0bds2HpbPgghfrHXbbGUl8tPoAK/fmsmRXDqO7aRa6iIiIiEhrU7p2LXn//S8A0Y8/gcXPt9HxK9JW8Nef/4rT5eTirhczdfBUBREiItLksosrjLD8qNnlmUUVdcZZzCZ6RPrTLzaQvrGB9I0JpFuEPzZP9SaX1k0Bens3+m4jQF/3Hpx+n3GB0WNEB9q4elhn3l66lxcX7GBUV81CFxERERFpTZzl5aTd/wC4XARecgl+o0c1On5T9ibu+uEu7E47Z3U+i4eTH9Y5voiI/G55JZVsTC1gY2oBGw7ms/FgAYcKyuuMM5ugW4Q/fWMDjcA8JpCe0QG6kKe0SQrQ27suIyF2GBxcCctfhbMfq3fYbWOS+GDlftbsy+Pnndmc3j28hQsVEREREZGGZL/yCpV79+IRHk7kvX9rdOye/D3cuuBWSqtKGR41nGdPexYPs/7rJyIiv01BmZ3NqYfbsBSwITWfA7lldcaZTJAY5ku/2CD6xhiBea9OAfh46t8eaR/0Tm7vTCZjFvqHV8Hqf8OpU8E7sM6wiABvrh3RhX8tTuGF+Ts4rVuYZqiIiIiIiLQCZRs3kfPvtwCIevQRLIF1z+cPSytO46b5N5FfkU+f0D7MPHMmXhavlipVRETamLJKBwfzSjmQV8qB3DL255ZyILeUnZnFpGSX1LtNfKgPfWOD6BdjtGLp3SkAf29rC1cu0nIUoHcE3c+F8FMgaxusetMI0etx8+lJ/HfFPn49kM+P2zM585S67V5ERERERKTluCorSXvgAXA4CDjvPPzPOqvBsTllOdw0/yYySjNIDEzk1bGv4mttvE+6iIi0b1UOJ2kF5dUBuRGSH368P7eM7OK6vcqPFhtsq27BEkS/2ED6dAok0EdhuXQsCtA7ArMZRv0ZPrsFls+GEbeC1VZnWLi/F5OS43n95z28OH8nZ/SI0Cx0ERERERE3yv7nP6nYsQNLcDCRDz7Q4LjiymJuXXArewv3Eu0bzetnv06wd3ALVioiIu7gcrnIKamsmTl+MK+sOhw3ZpWn5ZdT5XQ1+hr+Xh7EhvgQF2yjc4gPcSE+xIf50jcmkBBfzxY6EpHWSwF6R9H3MvjhSSg8COvfh6F/qnfYTacl8u7yfWxMLWDB1kzO7qVZ6CIiIiIi7lC+YwfZr70OQOSDD+ARElL/uKpy7vzhTrbmbiXEO4Q3zn6DKN+olixVRESaUbndwYHcUvbllLIv9/BM8iNtV8rsjka397SYiQm2EVcdkhv3PsSFGIF5oM2qCZQijVCA3lFYrDDyTvj2Xlj6EgyaBJa6f/yhfl5cPzKeVxft5oX5OzjrlAjMZv0lKiIiIiLSklxVVaQ98CDY7fideSYB551X77gqZxV//fmvrM5YjZ/Vj9fGvkZ8YHzLFisiIr9bYbmd/Tml7M0pYV9Oac3j/bmlpBeW42pkErnJBFEB3sQF+xAbYiMu2KdmJnlciI1If29lO9K62MugLB8Cot1dyQlRgN6RDLoWfnoW8vbCls+MWen1uPHURP6zbB9b0wr5fks65/ZpG29mEREREZH2IveddyjfuBGzvz9RjzzS4MzAJ5c/yaIDi/CyeDHrzFn0DO3ZsoWKiMgJcblcZBVXVAfjpezPKWHf4VnlOSXkldob3d7Py4POIT50CT06HDdmlMcE2/DysLTQkYicBJcLMrfA7h9g10LYtxR6nAtX/MfdlZ0QBegdiacvDL8FFj0Fi2dAn0uNjymPEezryeRR8cz6YRcvzt/JOb2i9EmliIiIiEgLqUhJIeulWQBE3ncf1siIesctTV3K/3b+D7PJzPTTpzMkakhLlikiIsc4fMFOo9VKSU04vi/H6EleWtl4q5UwP086h/gQH+pL59DDYbkv8aE+hPh6qs2KtC0l2bD7RyM03/0DFKfXXp+z2wjW28D7WgF6RzPsRlgyEzI2Gp/4dBtb77AbRify9pK9bM8o4utNaVzQr1MLFyoiIiIi0vG4nE7SHnwIV0UFvqNGEXjJxfWOK68q54nlTwBw9SlXMyZuTAtWKSIiAJlF5azZm8eqvXms2pvLtvRC7I6Ge62YTNAp0EaX6nC8S6gvXUJ8qsNyX/y8FNO1SY4qyN0DgTHG5NWOqqoSDqyA3QuNwDzt19rrPWwQPxq6ngVJZ0JY9zYRnoMC9I7HJwSGTIZlL8PiFxsM0AN9rPzp1ARmLNjJjAU7Gd8nGotmoYuIiIiINKu8Dz6gbM0azD4+RD/+WIOzDd/Y8AYHiw8S4RPBHQPvaOEqRUQ6HpfLRUp2Caurw/JVe3PZm1NaZ5ynxUxciI0uob7Vs8mNcLxzqA+xarXS/hxaD5/fYUxUNVkgsjfEDoW4YcZ9SGKbCYl/M5fLmEV+ODBP+QXsJbXHRPaFrmcagXncCLB6u6fW30kBekc04jZY8TrsWwwHVhq/1PX44+gE/r04hV2ZxczbcIiLBsS0cKEiIiIiIh1H5cFUMv/xAgDhf5mKNab+8+9debt4a9NbANw//H58rR14tpuISDOxO5xsOVTIqr25rN6bx+p9uWQXV9YaYzJBj0h/hsaHMCQ+mEGdg+kUZNMExI6gqgJ+es6YnOpyGOG5ywHpG4zb6jeNcbZgI0iPHQqxQyBmMHgHurf236MsD1J+Nrpa7P4RCvbXXu8bboTlSWdC4hngH+meOpuYAvSOKDAG+l8J6/5r9EK/6v16hwV4W7nptESmf7+DmQt2cn7faDws5patVURERESkA3C5XKQ//DCu0lJsQwYTfNVV9Y5zupw8vvxxqlxVnBF3Bmd1PquFKxURaZ9KKqpYtz/fCMz35bJuf36dnuWeHmYGxAYxJD6YofEhDOoSTKDN6qaKxW0OrobPb4esbcbzXhPgvOfBYYeDq47cDq03Aued3xs3AEwQfooRph8O1sN7gLmVfjPBUQWpa470MU9dDS7nkfUWT+g8ApKq27JE9gFz+8sOFaB3VCOnwLr3YPtXkLkNIk6pd9j1oxL41+IU9mSX8MWvh7hkUGwLFyoiIiIi0v4VfPopJUuXYvLyotOTT2Jq4D+f/9v5P9ZlrsPmYeP+4fe3cJUiIu1HVlEFq/fmsqp6dvnmQ4U4nLX7lwfarAzpEsyQ+BCGJQTTJyZQLVg6MnsZ/Ph3WPaKESL7hsP5/4BeFx0ZExgDvScYj6sqjdYuB1cbgfqBlZC/D7K2Grd17xrjPP0hZtCR1i8xQ8A3tMUPDzDasuTvrw7MF8Ken6GioPaYsB5HZpnHj+oQfd8VoHdU4d2h5wWw9UvjoqIXz653mJ+XBzedlshz325n5sKd/F//TpqFLiIiIiLShOwZmWQ88ywA4XfdhWd8fL3jssuyeXHNiwDcOfBOonyjWqpEEZE27dj+5av35ZGSXVJnXEyQjaHxhwPzELqG+2FWOxYB2LfMmHWeu9t43vcKGP+sca3Bhnh4Gi1bYgbD8JuNZcWZRwL1g6sgdS1UFkHKT8btsJDE2q1fIvuApZFvOzjsUFF05FZZXP24sPbyiuK6y44de/QMcwDvIEgcY1z8M/EMCIo7mZ9gm6YAvSMbdbcRoG/8GM64v8FfgEnJ8fzrlxT25ZTy6bpUrhjS8X5RRERERESag8vlIv3RR3EWFeHdty8hk65rcOxzq56jqLKIniE9ueqU+lu8iIgIFJTZ2XAwn/X781l/wLjllDTev3xofAidgmxuqlharcoSWPAYrHwDcIF/NFzwIvQYf3Kv5xcBp5xn3ACcDsjcWrv1S/YOyN1j3DZ8ZIzz8IZOA42e6nWC8WKoKmuSwwWMfu5xw47MMu80sPW2mGkhCtA7stjBkHCa0fx/2Ssw/pl6h/l6eXDL6Yk89fU2Zv2wk4sHxmDVLHQRERERkd+t8KuvKf7xR7Baif77k5g86v8v2pLUJXyT8g1mk5lHRj6Ch1n/lRMRAeNin9vTi1h34HBgnsfurLqzy9W/XH6zPT/BF3cabVcABv4Bzvk72IKabh9mC0T1MW5DJhvLyvKMvuNHz1QvL4D9y47/eh428PIHL7/q+4Dqe3/w9DvyuGZ5Pcu8g8Dq3XTH2A7orKujG323EaCvfQdO+2uDPZauHRHPGz+ncCC3jP+tOcjEYZ1buFARERERkfalKjeXjL//HYCwW27Gu3v3eseVVZXxxPInALj6lKvpHdq7xWoUEWlNXC4Xqfllxqzy6tnlmw4VUG531hnbOcSHAXFBxq1zEL07Bah/eWtSVWHM7rYFG18HaE3KC2H+w7DmLeN5YBxcONNoYdISbMHQdaxxA3A6IWeXEao7KhoPxhtr8yInTQF6R5d4BkT3h7Rfja+jnDGt3mE2Twu3jkniiXlbmPXDLi4ZFIunh2ahi4iIiLQnr7zyCs8//zzp6en079+fWbNmMWzYsAbH5+fn88ADD/Dpp5+Sm5tLly5dmDFjBuedd14LVt12ZTz5JI68PLx69CDsxhsbHPfGhjdILU4l0ieSOwbe0YIVioi4V1G5nQ0HC1h/IJ911YF5dnFFnXEB3h70jwtiYHVY3j82iFA/LzdU3AG5XMbs6LJcKM2rvs9t5D7PuLdXf0sgtBv0uQR6XwwRPd17LAA7F8CXU6DwoPF8yJ9g7KPgHeC+msxm41qG4fV/0C7NTwF6R2cyGbPQ51wPK1+HkXcaX9+oxzXDO/P6T7tJzS/j49UH+MOILi1bq4iIiIg0m48++oipU6fy2muvMXz4cGbMmMG4cePYvn07ERERdcZXVlZy9tlnExERwSeffEJMTAz79u0jKCio5Ytvg4oWLKDw62/AYiH673/H5OlZ77ideTt5e9PbANw//H58rb4tWKWISMupcjjZnlFUa3b5rqxiXK7a4zzMJnpGB9SaXZ4Q6quLfTal0lzI3FJPAF5fQJ4HLsfJ7ytnJ/z0rHEL73kkTA/r1nTHcyLK8uC7B2D9e8bz4Hj4v5ch4dSWrUNaJZPLdexfRe1bYWEhgYGBFBQUEBDgxk+PWhOnA14eYlycYNzTkHxbg0PfXpLCo19uITrQmx/vGYO3VV9/EhEREWlMWzn/HD58OEOHDuXll18GwOl0EhcXx5133sl9991XZ/xrr73G888/z7Zt27BaT+7rwm3lZ9PUHAUF7L7gAhxZ2YTeeCMRf5la7ziny8mkbyaxPms9Z8adycwzZ7ZwpSIizcPpdLE/t5SNqQVsTC1g/f58NqYWUGavG8TGBttqwvKBnYPo3SlQWURzqCyFHd/Aho9h1wJwVv227a0+YAsBn+Dq+5BG7oONe0yw4zvY/CnsWghO+5HXi+wLvScYgXpIYlMeaV3bvoZ5d0NxulHTiFvhzAfBUx9atzcne+6pGehiXLBg1BTjKyrLXoahN4BH/TNgJg7rzGs/7SGtoJwPVu5n8qiEFi5WRERERJpaZWUla9asYdq0I+38zGYzY8eOZdmy+i9Y9cUXX5CcnMztt9/O559/Tnh4OFdffTX33nsvFouCjcZkPPscjqxsPBMSCLvj9gbHfbLjE9ZnrcfHw4dpw+tvtSgi0to5nC5SskvYlFpg3A4VsDm1kKKKugGtv5fRiuVwYN4/Lohwf7ViaTZOB6T8ZITmW7+EyuIj64LjwTei/uC7vmD8ZC862f9K41aWD9u+gs1zYc+PkLHRuP3wBEQPMGal974YgpuwG0JJDnzzN9j0ifE8tCtc9Ap0HtF0+5B2QQG6GPpfBT8+DYWpsHEODLym3mHeVgu3n9mVhz7bxD++38FZp0TSOdSnhYsVERERkaaUnZ2Nw+EgMjKy1vLIyEi2bdtW7zZ79uzhhx9+4JprruHrr79m165d3Hbbbdjtdh555JF6t6moqKCi4kjv2sLCwqY7iDai+JfFFHz6KZhMRP/9Scxe9QdD2WXZzFgzA4A7B95JlG9UC1YpInJyqhxOdmcZYfnG1AI2Hypg86FCSivrziz39DDTMzqAvjEB9I81Zpcnhvm1zVYslSVG+Ju7B2IGGwGsl7+7q6qfywVp643QfNP/oDjjyLqgztD3Cuh3BYT3aNm6bEFGFjXwGqM1zNYvjTA95Wej3rT1sOAR4+fb+xJjdnpg7Mnvb/Nc+OoeKM0Gk9loaTxmGlhtTXM80q4oQBeDhxck3w7zH4IlM4xA3Vz/RUKvHtaZL9cfYuXeXKZ8tI6Pb07GatEFRUVEREQ6EqfTSUREBG+88QYWi4XBgweTmprK888/32CA/vTTT/PYY4+1cKWth6O4hLRHHgYg+No/4DNoUINjn1v5HEX2InqF9uKqU65qqRJFRE6Y3eFkR0YRm1ML2Vg9s3xrWiHldmedsTarhV6dAujTKYA+MYH0iQmka4Rf284SHFWQsqh69va8IxfFBDBZIGYQxJ8K8aONQN3d7UByU4wJkxs+NvqOH2YLMWZ297sS4oYZ18pzN58QGDzJuJVkw9YvYNOnsG8JpK4xbt8/AHHDjTC910UQEH1ir12cCV/9xXhNMPquT3jFCOZFGqAAXY4YfD38Mh2yd8D2r6DnhfUOs5hNvDhxAOfO+Jl1+/OZtXAnU89p4U8mRURERKTJhIWFYbFYyMjIqLU8IyODqKj6Zz5HR0djtVprtWvp2bMn6enpVFZW4lnPRTGnTZvG1KlH+n0XFhYSFxfXREfR+mW98A+qDqVhjY0l4s9/bnDc4tTFfLP3G8wmM48kP4LFrJY4IuJeFVUOtqcXsSm1kE2HjFYs29KKqHTUDcv9vDyqw/JA+sYa94nhflja4szyY7lckPZr9eztT2rP3g5JNELYAyshfx8cXGXcFr8AZquxLn60cVHKuOEtM9O5JMfoL77hYzi48shyD2/ocZ4x0zzprAbb+LYKvmEw5I/GrSjjSJi+fxkcWGHcvr0Puow0PgjodRH41b34OS6X8XP49l7jgqFmDxg9FU67x5hUKtIIBehyhHcADL3RCNEXvwinXNDgJ48xQTaeurgvd36wjpd/3MXobuEMSwhp4YJFREREpCl4enoyePBgFi5cyIQJEwBjhvnChQu544476t1m1KhRvP/++zidTszV31zcsWMH0dHR9YbnAF5eXng10LKkvStdtYq89z8AIPqJxzH71N8GsayqjCeXPwnANT2voVdorxarUUQEwOVysS+nlKW7c/j1gHFxzx0ZRVQ5XXXG+nt7VAflgfTuFEDfmEDiQ33bZhuWxuTvPzJ7O+uo1ma2EOhzqTF7O3bIkQwlfz+k/AJ7F8PeX6DgABxYbtx+mQ4WT4gdagTq8acaj0+2h/ixKkth+9dGrbsXHrkYqMkMCacbofkpFxgZUFvjHwnDbjRuhYdgy+dGK5YDK4zZ6fuWGD3N40cbYXrPi8A31Bg7727Y8a3xOlF94aJXIbqfe49H2gyTy+Wq+zdgO3ayV1vtMIqzYEYfqCqHSV9CwmmNDp/68Xo+XZtKTJCNr6ecSqDN2kKFioiIiLQNbeX886OPPmLSpEm8/vrrDBs2jBkzZvDxxx+zbds2IiMjue6664iJieHpp58G4MCBA/Tu3ZtJkyZx5513snPnTv74xz9y11138cADD5zQPtvKz+b3cpaVsWfCBOz79hN0+eVEP/F4g2NnrJnBm5veJMo3is8v+hwfq643JCLNL72gnKW7s1m6O4dlu3NIzS+rMybIx0rf6vYrfToF0jcmkLgQG6bW0PKjOZTlGwHtho9h3+Ijyz28ocd46DcRup4FluPkIC4X5O09Eqan/AJFh2qPsXgZ7VPiTzVmqMcM/m2zoh1VRy4Gum1e7YuBRg8wQvM+l4J/O72eRv6B6jD9U6O9y2EmixGmH1oPFQXGNwHG3Auj/nz8Pzdpl0723FMz0KU2v3AYeC2s+qcxC/04AfrjF/Vh9d489ueW8uBnm3hp4oD2+4+niIiISCsTHx/PH//4R66//no6d+78u17ryiuvJCsri4cffpj09HQGDBjAt99+W3Nh0f3799fMNAeIi4vju+++4+6776Zfv37ExMQwZcoU7r333t9VR3uUNetl7Pv24xEZScTf/trguB15O3hn8zsA3D/sfoXnItJs8koqWbYnpyY035NVUmu91WJiYOdghsWHVPcsDyAmqB2H5YdVVcKu+fDrh7DjO3AcvvC1yQhi+0802t16B574a5pMEJJg3AZdawTquXuOhOl7fzFaweytfrwI8LAZgXrCqRB/GnQaWLfNissFh9bChjnGxUBLMo+sC+pihOZ9r4Dw7r/zh9IGBMXByDuMW95e2PyZEaan/Wp8sADQaRBMeBUierqzUmmjNANd6srbCy8NApcDbvoJOg1odPi6/Xlc9toyHE4XL1zRn0sG/Y6rIIuIiIi0M815/jljxgzefvttNm3axBlnnMGf/vQnLr744jbTJqUjnJuX/fore6+6GpxOYl+bjf+YMfWOc7qcXPfNdfya9StndT6LGWfMaNE6RaR9K66oYlVKLkt2GYH51vRCjk6DzCboGxNIclIYI5NCGRofgs2zg1x/weUy+pZv+NBoB1KWd2RdeE/ofyX0vRwCmynrcLkgZxek/Fwdoi+GkqzaY6w+xoVI46tnp+9fDhs/NrY7zBYCfS4xQvPWcjFQd8vZbbSzsYUYbXYsmkfc0Z3suacCdKnf/240/jLufTFc/vZxh89auJN/zN+Bn5cHX991Kp1DNVtGREREBFrm/HPt2rW8/fbbfPDBBzgcDq6++mr++Mc/MmjQoGbZX1Np7+fmzspKUi65hMpduwn4vwuJee65Bsd+vP1jnlj+BD4ePnw+4XOifNvp1+xFpEWU2x2s3Z/Hst05LNmVza8HC3Ac08O8R6Q/yUmhjEwKZXhiaMdryZq9CzZ8ZGQfeXuPLPeLgr6XGbPNI/u0fBDtckHW9uoZ6j8bgXpZbv1jPWxwynlGaH4i7WREOjgF6CeovZ+kN5mMzTB7pHGRiTtWQ2hSo8MdThdXvbGclXtzGdg5iI9vTsZqMTe6jYiIiEhH0JLnn3a7nVdffZV7770Xu91O3759ueuuu5g8eXKr/Np9ez83z3rpJbJfnY0lNJTEeV/iERxc/7jSLC767CKK7EXcN+w+rul5TQtXKiJtXZXDyYbUApbtNtqyrN6bR0WVs9aYziE+jOoaSnJSGMmJoYT7t41vKzWpkmzY9Kkx2/zoXtmeftDz/4y2JwmngbkVzb53OiFr65F2L4fWQVh3Y0Z1zwvAy9/dFYq0GeqBLk0rsjd0Gwc7v4OlL8GFMxsdbjGbeHHiAM6d8TPr9ucza+FOpp7To4WKFREREenY7HY7c+fO5a233mL+/PmMGDGCP/3pTxw8eJD777+fBQsW8P7777u7zA6lYvdust/4JwBRDz3UYHgO8Nyq5yiyF9E7tDcTe0xsqRJFpA1zOl1szyhi6e4clu7KZkVKLsUVVbXGRPh7MaprGMlJoSQnhhIX0gG/KX643/jBVUZwvmuB0a4WjAtMdj3LCKJ7jAdPX/fW2hCz2choInvDiFvcXY1Ih6QAXRo2+m4jQF//PoyZdtyrNccE2Xjq4r7c+cE6Xv5xF6O7hTMsIaSFihURERHpeNauXctbb73FBx98gNls5rrrruPFF1/klFNOqRlz8cUXM3ToUDdW2THlvPUWVFXhN2YMAeeOa3DcLwd/4du932I2mXkk+REsrWnWo4i0Ck6ni5ScErYcKmRLWiGbDxWyKbWA3JLKWuMCbVaSE0NrZpknhfu2ym8fNRuXCwoPGRfWTF1r3B9aB+UFtcd1Ggj9Jhr9wv0i3FOriLQpCtClYV2SIW4EHFgOy1+Fsx8/7iYX9u/Ej9sz+XRtKnd/tJ6vp5za8fqoiYiIiLSQoUOHcvbZZzN79mwmTJiA1Vr3vCshIYGJEzWruSVV5eRQ+MWXAITedFOD48qqyvj7ir8D8Ieef6BnaM8WqU9EWq9yu4Pt6UXVQXkBWw4Vsi29iNJKR52xPp4WhiWEMDIplJFJYfSKDsBs7kCBeUlO3bC8OKPuOIsXRPWFxDHGbPPw7i1eqoi0bQrQpXGj74YProRV/4bRU8EWdNxNHr+oD6v35rE/t5QHP9vESxMHdKxPvUVERERayJ49e+jSpUujY3x9fXnrrbdaqCIByPvoI1yVlXj37Ytt4IAGx73262ukFqcS5RvF7QNub7kCRaRVyCuprBWUb0krZHdWSZ2LfQJ4W82cEhVA704B9OoUQO9OgfTuFNBxrj1WXghp66vD8nVGYJ6/v+44kwUiekHMQOg0CGIGQXhP8PBs8ZJFpP1QgC6N63aO8Y9P5hZY/Sac+pfjbuLn5cHMiQO47LVlfPnrIcZ0D+fSwbEtUKyIiIhIx5KZmUl6ejrDhw+vtXzFihVYLBaGDBnipso6LmdlJXnvfwBAyKRJDU4k2Z67nXc2vwPAA8MfwMfaAXsTi3QQLpeLg3llbD5UyJZDBWxJK2TLoUIOFZTXOz7U15Ne1UF5r2gjLE8I88XSUWaX28sgfWPtsDx7J1D3gwVCuxkheadBRmuWqL7gqb9PRaRpKUCXxpnNMOrPMPcmWD4bRtwGVttxNxvYOZg/n9WNf8zfwcOfb2JIfDBdQlvpBTlERERE2qjbb7+dv/3tb3UC9NTUVJ599llWrFjhpso6rsKvvsaRnY1HZCQB486pd4zT5eTxZY/jcDkY23ksY+LGtGyRItJs7A4nOzOKjVnl1UH5lrRCisqr6h3fJdTHmFVeHZT36hRAhL9Xx/kWt70MsncYQfnhViyZW8FZz88rsHP1zPLq2eWdBoB3YIuXLCIdjwJ0Ob4+l8KPTxpfj1r/Hgy94YQ2u+2MrvyyM5uVe3OZ8uF65tyS3HG+XiYiIiLSArZs2cKgQYPqLB84cCBbtmxxQ0Udm8vlIvc//wEg+JprMNXTkx5gzvY5bMjegK/Vl/uG3deSJYpIM0grKGPR9iwWbc9kya4ciivqhr9Wi4nukf5HwvKYQE6J8sffuwNcM8zpMPKEnN2Qs+uo224oOEC9M8t9I6pnlg88MrvcL7zFSxcRAQXociIsHjDyLvj6HljyEgy63lh2vM3MJl6cOIBzZ/zM+gP5zFq4k6nn9Gj+ekVEREQ6CC8vLzIyMkhMTKy1PC0tDQ8Pneq3tNKVq6jYuhWTtzfBV1xe75is0ixmrJ0BwJ0D7yTSN7IFKxSRpmB3OFm9N49FOzL5aXsW29KLaq339/aoNaO8d6cAksL98PRoxxPKXC4oyaobkOfsgtw94KhseFvvQIgecKQVS8wgCIiBjjILX0RaPZ1Vy4kZcA0segby98GWz6DvZSe0WUyQjacu7sudH6zj5R93MbpbOMMSQpq3VhEREZEO4pxzzmHatGl8/vnnBAYaX2PPz8/n/vvv5+yzz3ZzdR1P7jtGT/PACRdhCQqqd8yzq56l2F5Mn9A+TOwxsQWrE5HfI72gnEXbM1m0PYvFu7JrzTI3mWBAXBBjukcwpkc4fWMCMbfXfuXlhZC7u/7Z5BWFDW9n8YLQpOpb19o3n1CF5SLSqilAlxPj6QMjboEfnoTFLxptXU7wH7gL+3fix+2ZfLo2lbs/Ws/XU04l0NYBvqYmIiIi0symT5/OaaedRpcuXRg4cCAA6/+fvfsOj6ra+jj+nZn03hNIQgu9l9C7CKgoIhZApSl2LBffe62Xa7mKXWxXxAaiFEFExUaTDtK7hE4IkEBISK8z8/5xIBBJIECSSfl9nmeezOyzz8yaI4bNmjVrb9lCaGgo06ZNc3B01Uvu4cOk//EHAAEjRhY5Z3nccn4/9DsWk4X/dPkPFrOlPEMUkcuQZ7Wx8XByQWuWv1eZB3i60LNhML0aBdO9QTABni7lG6A1z6jqtuUbLVLstvPuW8/ct513/+y49W9z/jZuyy/8OD2+cDV5esJFgjKBX61zifGgBucS5j7hoN95IlJJOTSBPmHCBObOncvu3btxd3enS5cuvP766zRqVHybjylTpjB69OhCY66urmRnF717tZSi9mNg5URI2AH7FkGDklc1vXRzczYcSiY2KZPn5+3g/aGtq8+mKCIiIiJlJDw8nG3btvHNN9+wdetW3N3dGT16NMOGDcO5mP7bUjaSpn0NdjuePXvgWq/uBccz8zJ5Ze0rANzd5G4aBzQu7xBF5BLiU7JZtudMlfneRNL+VmXeKsKPXo2C6dUohJaOqjJP2AUr3oKd84xEtyN4hpxJkv+tmty/Dji7OSYmEZEy5NAE+rJly3jkkUdo3749+fn5PPvss/Tr149du3bh6elZ7Hk+Pj7ExMQUPFYitpy4+0P0aFj9gVGFfhkJdC9XJ94b2prbJq3hp63H6NUwmFvbRZRhsCIiIiLVg6enJ/fff7+jw6jWrKmpnJ47F4CAESOKnDNp2ySOZRyjhmcNHm79cHmGJyLFyLPa2HQ4maV7TrI05iR/HS/cgiTA04UeDYLo1SiEHg0dUGV+vuNbYfmb8NdPxc8xmcFkAbOTUe1tshg/C+47gbkkcyzGc5ktRnuVwAbnJcyjjJ7lIiLViEMT6L/99luhx1OmTCEkJISNGzfSo0ePYs8zmUyEhYWVdXhSlE6PwJ+fwOFVEPsn1OpY4lPb1PLniT4NeHvhHsb/sIPoOv7UDiz+gxIRERERKZldu3YRGxtLbm7hTdoGDhzooIiql9NzvsOemYlrgwZ4dulywfGYpBi+2vkVAM91fA4PZ4/yDlFEzkhIzWZZzEmW7jnBir2JpGUXrjJvGeFHrzOtWVpG+GFxdC/zuI2w/A3YczZ/YoKmA6HbOAhqWDgJruJCEZEyUaF6oKekpAAQEHDxTSbT09OpXbs2NpuNtm3b8uqrr9KsWbPyCFF8akCrobDpK/hxLNw12/iaVgk93Ls+K/Ymsu5QEo/P3MLsBzvjbKnCO5GLiIiIlKEDBw5wyy23sH37dkwmE3a7HTj3DU2r1UFf769G7Pn5JH1t9JsPGDnigm/HWm1WXlrzEla7lb61+9IzsqcjwhSpttJz8ll/MInV+xNZue/UBVXm/h7O9GgYTO9GIXRvEESgl6uDIv2bw2uMxPn+JcZjk9nYi6z7/0GIWkCJiJSnK0qgHzlyBJPJRESE0YJj3bp1TJ8+naZNm17x10dtNhtPPPEEXbt2pXnz5sXOa9SoEV988QUtW7YkJSWFt956iy5durBz586CeM6Xk5NDTk5OwePU1IvsCi0l0+NfsHcRJO6Bz66FYbMgol2JTrWYTbw7tDXXTVzOliOn+WDxXsb1K77nvYiIiIgU7/HHH6du3bosXryYunXrsm7dOk6dOsWTTz7JW2+95ejwqoW0RYvJP3Yci78/PjfeeMHx2Xtmsy1xG57OnjzV/ikHRChSvWTnWdl0OJnV+0+xen8iW+NSsNrsBcdNJmgZ7kvPRiH0rihV5mfZ7XBoBSx7w/gJRnV5q6FnKs7rOzY+EZFq6ooS6HfeeSf3338/w4cPJz4+nr59+9KsWTO++eYb4uPjGT9+/GU/5yOPPMKOHTtYuXLlRed17tyZzp07Fzzu0qULTZo04ZNPPuHll1++YP6ECRN48cUXLzseuQi/SLhvMUy/A+K3w5QBcOun0OSmEp0e7ufOq7e04NEZm/nwj310axBMh7oX/9aBiIiIiFxozZo1LFmyhKCgIMxmM2azmW7dujFhwgQee+wxNm/e7OgQq7ykqVMB8B82FLNb4c3zTmSe4L1N7wHwWJvHCPUMLff4RKq6PKuNrUdOFyTMN8WeJjffVmhOrQAPukQF0jkqkG71K1CV+Vl2O+xfDMvehCNrjTGzM7S+E7r9AwIu3JhYRETKzxUl0Hfs2EGHDh0A+Pbbb2nevDmrVq1iwYIFPPjgg5edQB87dizz589n+fLlRVaRX4yzszNt2rRh3759RR5/5plnGDduXMHj1NRUIiMjL+s1pAg+NWH0rzDnHti7AGYNh34vQ+exJeq7dlOrmiyNOcl3m+L4x6wt/PJ4d3zdncshcBEREZGqw2q14u3tDUBQUBDHjh2jUaNG1K5dm5iYGAdHV/VlbdtG1ubN4OyM39ChFxx/fd3rpOel0zywOUMaDXFAhCJVj9VmZ9exVFbvT2T1/lOsP5REZm7hdlWhPq50iQqic1QgnesFEunnZuzjtW8OZNeE2p0htLnRN9yR7Hajt/nyN+HoRmPM4gptR0DXx43iNRERcbgrSqDn5eXh6mp8Yrto0aKCzYkaN27M8ePHS/w8drudRx99lO+//56lS5dSt+7lf6pqtVrZvn07N9xwQ5HHXV1dC2KVUubqDUNnwG9PwfrPYMHzkHQQrn8DLJf+o/Xizc1YfyiJ2KRMnp+3g/eHtr6gZ6SIiIiIFK958+Zs3bqVunXr0rFjR9544w1cXFyYPHky9erVc3R4VV7SVGNjUN8bbsA5JKTQsS0ntrDg8AIsJgv/6fIfLI5O1IlUUna7nb0n0lm9z0iYrz1witTzNv4Eo49556hAOkcF0SUqkHpBnsa/LZMOwNaJsHUGnI4t/MQu3hDZAWp1NhLq4e3A2b183pTNBrvnG4nz+G3GmJM7RN8DXR419h4TEZEK44oS6M2aNWPSpEkMGDCAhQsXFrROOXbsGIGBgSV+nkceeYTp06fzww8/4O3tTXx8PAC+vr64uxt/cY0YMYLw8HAmTJgAwEsvvUSnTp2oX78+p0+f5s033+Tw4cOMGTPmSt6KXC2LE9zwFvjXNRLoGz43Fia3f2kk2C/Cy9WJ94a25rZJa/hp6zF6NQzm1naX9w0EERERkers+eefJyMjAzDWyTfeeCPdu3cnMDCQWbNmOTi6qi0vPp7U338HjM1D/27R4UUAXFf3OhoHaMM/kZKy2+3EJmWeaclyijX7T5GYnlNojrerEx3rBRQkzBuFemM+28c8OxU2T4Mt0yF2zbmTXH2g0Q2QeQqO/Ak5qUbblP2LjeNmZ6jZBmp1MpLqtTqBRym3GrVZYef3sOJtOLHLGHP2hA5joPOj4BVcuq8nIiKl4ooS6K+//jq33HILb775JiNHjqRVq1YA/PjjjwWtXUri448/BqBXr16Fxr/88ktGjRoFQGxsLGazueBYcnIy9913H/Hx8fj7+9OuXTtWr15N06ZNr+StSGkwmaDLWPCvDd/dB/sWwhfXw52zwDf8oqe2qeXPE30a8PbCPYz/YQfRdfypHehZToGLiIiIVG79+/cvuF+/fn12795NUlIS/v7++mZfGUv+Zjrk5+PRvj1uRfxbZMVRYwPAXpG9yjkykcrnRGo2K89UmK/Zf4qjp7MKHXdzNtO+TgCdowLpEhVE85o+OFnO5QmwWWHfUqPS/K/5kH/2fBNE9YZWd0LjAeDicW7+iV1weI2RZI9dA2nHIW6dcVv9vjEvuPGZZPqZKnXfyBK1LL2ANR+2zzYS56f2GmOuPtDxAej0cOkn6kVEpFSZ7Ha7/dLTLmS1WklNTcXf379g7NChQ3h4eBDyt68vViSpqan4+vqSkpKCj4+Po8OpeuI2wowhkHESvGvAnd9CjZYXPcVqszNs8lrWHUqidaQfsx/sjPP5iyERERGRSqys1p95eXm4u7uzZcsWmjdvXmrPW54q69rclpnJ3t7XYEtJIeKjD/Hu06fQ8bi0OK6fez0Wk4XlQ5fj41J53ptIebDZ7Gw7msKS3Sf4Y/cJth9NKXTc2WKiTaT/mYR5IK1r+eHqVEQbpJMxRqX5tm8h7di58aBG0HoYtBxi7N91KXY7nD4MsWvh8GrjZ2IR+0j4hJ9Xod4ZQpqC+SL/ds3PNZL6K9+B5EPGmJsfdH4EOtwP7n6Xjk1ERErNla49r6gCPSsrC7vdXpA8P3z4MN9//z1NmjQpVAUj1VBEOxizGKbfASd3wxfXwe1ToGG/Yk+xmE28O7Q1101czpYjp3l/8V6e7Neo/GIWERERqYScnZ2pVasWVqv10pOlVKX8+CO2lBScIyPx+tu3aQFWHl0JQOuQ1kqei5yRlp3Hir2JLNl9gqUxJ0hMzy10vEW4L13rGy1Zouv44+FSTLoiMwl2fGckps9uvAlGYrrFbdD6TqjZ9vIqxU0m8K9j3Fqd2RA4I9Fo9XI2oX58C6QeNV57x3fGHFdfqNXxXEK9ZhtwdoP8HKONzMqJkHLEmOsRCJ3HQvsx4KbfCyIilckVJdBvvvlmBg8ezIMPPsjp06fp2LEjzs7OJCYm8s477/DQQw+VdpxSmfjXhnt+h29HwMFlRkX69W9Ah/uKPSXcz51Xb2nBozM289Ef++jeIJgOdfU1NhEREZGLee6553j22WeZNm0aAQFaO5UHu81WsHlowPDhmCwXVsWebd/SPbx7ucYmUpHY7XYOJGaw5K8TLNl9gvWHksi3nfsCvJerE90bBHFN4xB6NQoh2Nu1+Cez5sG+xbB1OsT8CtYzyXeTBRr0M6rNG14HThd5jsvlGWS0fWk8wHicm2Ek7M+2fYlbDzkpsHeBcQOwuEJ4W6PaPO34mTcaCl0eg+jR4KJ2pSIildEVJdA3bdrEu+++C8CcOXMIDQ1l8+bNfPfdd4wfP14JdDG+inbXHJj/D9jyNfzyf8Yiou/LxX7F7aZWNVkac5LvNsXxj1lb+OXx7vi6O5dr2CIiIiKVyYcffsi+ffuoWbMmtWvXxtOzcHJm06ZNDoqs6spYsYLcgwcxe3nhO3jwBcez87NZd3wdAN0jlECX6iUn38qfB5KM1iwxJzh8KrPQ8XrBnlzTKIRrGocQXScAF6dLtO6M3w5bZsD2b402oWeFtjCS5i1uB69yaiHr4gl1exg3MPqaJ2w/r+3LGiPGsxuX+oRD1yeg7XBwdi+fGEVEpExcUQI9MzMTb29vABYsWMDgwYMxm8106tSJw4cPl2qAUok5ucDNH0JAHVjyX1jzoZFEH/zpuc1b/ubFm5ux/lASsUmZPD9vB+8Pba0NsERERESKMWjQIEeHUO2crT73u+02LF4XVpOuj19PtjWbUI9QGvg1KO/wRMpdQmo2f+w2qsxX7kskM/dcWykXi5mO9QLofSZpXieoBBXY6SeNDTe3TjcS6Gd5BkOLO4zEeViLMngnl8niZLRsqdkGOj1k9FFPOmAk0J3coMlNpVsRLyIiDnNFCfT69eszb948brnlFn7//Xf+8Y9/AHDixIlKtfmPlAOTCXr8E/zrwryHYPd8mHojDJtZZKWAl6sT7w1tzW2T1vDT1mP0ahjMre0iHBC4iIiISMX3n//8x9EhVCvZe/aQsXo1mM343313kXMK2rdEdFchiFRJNpudrXGn+WP3CRbvPsHOY6mFjod4uxoJ8yYhdKsfhKdrEWkHaz5Yc4xe4dZc4+fxrcaGoPsWgi3fmGdxMVqztL4L6vcBSwX+hrLJBIFRxk1ERKqUK0qgjx8/njvvvJN//OMfXHPNNXTu3BkwqtHbtGlTqgFKFdHiNuMrbDOHGX3jPu0Dd82GkMYXTG1Ty58n+jTg7YV7GP/DDuoEedKutr8DghYREREROSfpK6P63Pvaa3GJCL/guN1uZ0Wc+p9LFWLNh13zyE6K5VBCMkdOJHP8VArWvBzCyGO0KR8X5zyC3U2EeZoIdrfjabFhSsqBZbmwJAfyc88ly/NzjPt228VfN7wdtBoGzW8FD+3vICIijmWy2+32S0+7UHx8PMePH6dVq1aYz/S0XrduHT4+PjRufGFStKJITU3F19eXlJQUVcs7wqn98M1txlfbXH1hyFdQr9cF06w2OyO/WMfKfYl4uliYck8H2tfRwklEREQqn7Jcf5rN5otWOVut1mKPVQSVaW2en5TEvl69sefmUnv6N3i0bXvBnIMpBxk4byBOZidWDV2Fh3PRbQtFKoOcI1vImvMQfim7yvaFTGZj802vYGg2GFrfCcGNyvY1RUSkWrrStecVVaADhIWFERYWRlxcHAARERF06NDhSp9OqovAKLh3Ecy8E46sha9vhZvegzaFvwJrMZuYPKId907ZwJoDpxj5xTq+HNWejvUCHRS4iIiISMXz/fffF3qcl5fH5s2bmTp1Ki+++KKDoqqakmfOxJ6bi1uLFrgX863bs9Xn0aHRSp5LpbX36AkSfnqJTvHf4IeNFLsHi2xtcXXzIMzfh5pBfoT6+2BxcTdarDi5nvfT1dgL6+xPJ7cLxyyu553jZvQSFxERqcCu6G8qm83Gf//7X95++23S09MB8Pb25sknn+S5554rqEgXKZJnIIz4AX54BHbMMX4mHYRrnjf6xp3h4eLEF6Pac/+0DazYm8ioL9fz+choutQPcmDwIiIiIhXHzTfffMHYbbfdRrNmzZg1axb33nuvA6Kqemy5uSTPmAFAwIgRxVb9n+1/3iOiR7nFJlIasnKt/Lz9OFtXzmf0qXfpZo4HYLG5Cwfbj6dvh5bUDizBBqAiIiJV0BUl0J977jk+//xzXnvtNbp27QrAypUreeGFF8jOzuaVV14p1SClCnJ2g8Gfgn8dWPGWcUs+BDd/ZBw7w93Fwqcjonlg2kaW7TnJ6Cnr+WxkNN0bBDssdBEREZGKrlOnTtx///2ODqPKSP3lF6wnE3EKCcHnuv5FzsnIy2BDwgZA/c+l8th1LJWZ62NZtHkPY/On8bLTEjBDsiWQuC7/pVfvYfQxazNcERGp3q4ogT516lQ+++wzBg4cWDDWsmVLwsPDefjhh5VAl5Ixm6HPv40k+vwnjGr01KMw5BujSv0MN2cLnwxvx8PfbGLJ7hPcO3UDk4e3o1ejEIeFLiIiIlJRZWVl8f777xMefuEml3L57HY7SVONzUP977oLk7NzkfPWHl9Lvi2fSO9IavvULs8QRS5LRk4+87cdY/q6I2w9cpp+5vV87/wloU6nAchqOQL/G/6Lv5uvYwMVERGpIK4ogZ6UlFTkRqGNGzcmKSnpqoOSaqbtcPCNgG9HQOwa+PxauGuO0S/9DDdnCx/f3Zax0zezcFcC93+1kUnD23JN41AHBi4iIiLiWP7+/oXaidjtdtLS0vDw8ODrr792YGRVR+b69eT89RcmNzf8h9xR7Lyz/c+7h3e/6MauIo6y42gK09fF8uOWY6Tn5BPMaT52mcr15j8BsAdEYRr4Pu51ujk4UhERkYrlihLorVq14sMPP+T9998vNP7hhx/SsmXLUglMqpmo3nDvAvjmDkg6AJ9dC0OnQ+3OBVNcnSx8dGdbHpuxmd92xvPAtI3876529G16GUl0mxXysyEv2/iZn22MB9Qr1H9dREREpDJ49913CyVrzWYzwcHBdOzYEX9/fwdGVnWcrT73HXQzFj+/IufY7faC/ufdI9S+RSqOtOw8ftx6jJnrjrD9aMqZUTsP+azhCdtUXPPTwGSBro9j6vkvcHZ3aLwiIiIV0RUl0N944w0GDBjAokWL6NzZSHCuWbOGI0eO8Msvv5RqgFKNhDSBMYtgxlA4tgm+Ggi9nwV3f8jPgbwsXPJz+Cgsi2WnjnAsMZmUGZM4XtuTGp6mcwnx/OyC+eTnnHucnwW2/KJfu/dz0PNf5ft+RURERK7SqFGjHB1ClZYbG0v6kiWAsXlocfYk7+FE5gncLG5Eh0aXV3giRbLb7WyNS2Hmulh+3HqMzFwrAC4WM3c1tPJ41of4xa8xJtdoBQM/hBoqhBMRESnOFSXQe/bsyZ49e/joo4/YvXs3AIMHD+b+++/nv//9L927q+pCrpB3KIz6GebeB7vnw6IXLphiAa6Bc396467wtSwuxi03HVZOhHajwUubk4qIiEjl8eWXX+Ll5cXtt99eaHz27NlkZmYycuTIy3q+jz76iDfffJP4+HhatWrFBx98QIcOHYqcO2XKFEaPHl1ozNXVlezs7Mt7ExVY0rSvwW7Hs0d3XOvVK3be2erzDjU64ObkVl7hiRSSkpXHD1uOMmPdEf46nlowXi/Yk7uiazLM9jMeq143Couc3I1ipU4Pg+WK0gIiIiLVxhX/TVmzZs0LNgvdunUrn3/+OZMnT77qwKQac/GAO76CVe/BoRXg5AZOrmd+uhU8tjm58cuuZDYcyyLP5MKtHaNoW6/GefPdz53n7HbB+ZgtYLfDp73h2GZYNRH6awNcERERqTwmTJjAJ598csF4SEgI999//2Ul0GfNmsW4ceOYNGkSHTt2ZOLEifTv35+YmBhCQorevN3Hx4eYmJiCx1Wp97c1LY2U774DIOAS1/Fs//Me4T3KPC6R89ntdjbFJjNj3RHmbztGdp4NABcnMwNa1GBYh1q0dzuC6cf74PgW46S6PeCm94w2liIiInJJ+qhZKiazBbqPM27FTQGu72ln6XfbmLMxjhmr4e2IVtzSLKLkr2MywTXPw9e3wvrPoPMj4FPz6uMXERERKQexsbHUrVv3gvHatWsTGxt7Wc/1zjvvcN999xVUlU+aNImff/6ZL774gqeffrrIc0wmE2FhYZcfeCVwes532DIzcW1QH88uXYqdl5KTwtaTWwHoFqHNF6V8ZOVambMpjmlrDrEnIb1gvGGoF8M61OKWNuH4Odtg2etGYZLdCm6+0O8VaHO39n8SERG5DEqgS6VmMZt449aWOJlNzFx/hHHfbsVqg9vaXUYSPaoP1OoMsWtg+Vtw4ztlF7CIiIhIKQoJCWHbtm3UqVOn0PjWrVsJDAws8fPk5uayceNGnnnmmYIxs9nMtddey5o1a4o9Lz09ndq1a2Oz2Wjbti2vvvoqzZo1K3Z+Tk4OOTk5BY9TU1OLnetI9vx8kqdNA8B/xIiLVtavObYGq91KlG8U4V7h5RWiVFMnUrOZuuYQ3/wZy+nMPADcnM3c2LImwzpE0raWv/Hn9dAq+OkxOLXPOLHJQLjhTfCumh94iYiIlCUl0KXSM5tNvHpLCyxmE9/8Gcs/52zFarMxpH2tkj3B2Sr0KQNg01fQ9THwr1OmMYuIiIiUhmHDhvHYY4/h7e1Njx5G+5Bly5bx+OOPM3To0BI/T2JiIlarldDQ0ELjoaGhBXse/V2jRo344osvaNmyJSkpKbz11lt06dKFnTt3EhFRdDHDhAkTePHFF0scl6OkLV5C3rFjWPz98b3ppovOPdv/vHuE9oGSsrPrWCqfrzzIj1uPkme1A1ArwINRXepwa7sIfN2djYnZKbDwP7DxS+OxVxgMeAuaXPzPsYiIiBTvshLogwcPvujx06dPX00sIlfMbDbx30HNcTKbmLrmME99t518m527OtYu2RPU6Qb1esGBpbDsTRj0UVmGKyIiIlIqXn75ZQ4dOkSfPn1wcjKW9jabjREjRvDqq6+W6Wt37tyZzp07Fzzu0qULTZo04ZNPPuHll18u8pxnnnmGcePOtehLTU0lMjKyTOO8EklTpwLgN3QIZrfiNwW12W2sPLoSgO7hSqBL6bLZ7Czbc5LPVh5g1b5TBePRtf0Z070ufZuGYTGf9+2I3T/Dz09C2nHjcduR0PclcPcr38BFRESqmMtKoPv6+l7y+IgRI64qIJErZTKZeGFgMyxmM1+sOshz3+/AarMzonOdkj3BNf82Euhbp0O3f0BQ/bIMV0REROSqubi4MGvWLP773/+yZcsW3N3dadGiBbVrl7CI4IygoCAsFgsJCQmFxhMSEkrc49zZ2Zk2bdqwb9++Yue4urri6up6WbGVt6zt28natAmcnfEfNuyic3ed2kVSdhKezp60CWlTThFKVZedZ2XupqN8vvIA+09mAEbryuubh3Fvt7q0qeVf+IT0E/DLP2HXPONxQD246X2oqw91RERESsNlJdC//PLLsopDpFSYTCb+fWMTnCwmJi8/wPgfdpJvtXNPtws317pARDQ0vB72/ApLJ8Btn5d9wCIiIiKloEGDBjRo0OCKz3dxcaFdu3YsXryYQYMGAUYl++LFixk7dmyJnsNqtbJ9+3ZuuOGGK46jIkia+hUAvjdcj3NIyEXnrogz2rd0rtEZZ4tzmccmVdvJtBymrT3M12sPk5SRC4C3qxNDO0QysksdIvw9Cp9gt8OWb+D35yD7NJgs0OVR6PU0OLuX/xsQERGpotQDXaock8nEM9c3xsls4n9L9/PS/F1YbXbu61Hv0if3ftZIoO/4DrqPg9DiN8ESERERcbRbb72VDh068NRTTxUaf+ONN1i/fj2zZ88u8XONGzeOkSNHEh0dTYcOHZg4cSIZGRmMHj0agBEjRhAeHs6ECRMAeOmll+jUqRP169fn9OnTvPnmmxw+fJgxY8aU3hssZ3kJCaT+9htgbB56KWf7n/eI6FGmcUnVFhOfxucrDzBv8zFyrTYAwv3cuadbXe6IjsDbrYgPZxJ2wa//gkPGn0FqtIKBHxg/RUREpFQpgS5Vkslk4p/9G+FkNvH+kn288stf5NvsPNQr6uIn1mgJTQcZX3/841UY+k15hCsiIiJyRZYvX84LL7xwwfj111/P22+/fVnPNWTIEE6ePMn48eOJj4+ndevW/PbbbwUbi8bGxmI2mwvmJycnc9999xEfH4+/vz/t2rVj9erVNG3a9KrekyMlf/0N5OfjER2Ne7OLF1KcyjrFjsQdAHQN71oe4UkVYrfbWb43kc9WHGDF3sSC8Ta1/BjTrR79m4XiZDFfeGJ2Cix9Df78BOxWcHIzioA6PQIW/fNeRESkLOhvWKmyTCYT4/o1wmI28+6iPbz+226sNhtjr7nE15t7Pwt//Qi758OxzVBT/SxFRESkYkpPT8fFxeWCcWdnZ1JTUy/7+caOHVtsy5alS5cWevzuu+/y7rvvXvZrVFS2rCySv/0WgIBRIy85f9WxVdix0ySgCSEeF2/1InJWdp6VH7Yc5fOVB9mTkA6A2QTXNQ/j3m71aFfbv+gTbTbYNgsWjoeME8ZYk5ug3yvgf3l7HoiIiMjlUQJdqrzHr22Ak8XEm7/H8NaCPeTb7DzepwEmk6noE4IbQYs7YNtMWPJfuPu78g1YREREpIRatGjBrFmzGD9+fKHxmTNnVupKcEdI+eEHbCkpOEdG4tW79yXnn+1/3i28W1mHJlXAqfQcvl4by7S1h0hMN/qbe7pYGNK+FqO71iEywKP4k49vNTYJPfKn8TiwAVz/OtTvUw6Ri4iIiBLoUi080rs+FrOJ137dzcRFe7Ha7Izr27D4JHqvp2D7bNi3CA6vgdqdyzdgERERkRL497//zeDBg9m/fz/XXHMNAIsXL2b69OnMmTPHwdFVHnabjaSvpgEQMPxuTBbLRefn2/JZdWwVoP7nlc7pWNj0FdTrBbW7QnH/HiglexPS+GLVQb7bdJTcfKO/eU1fN0Z3rcuQDpH4FNXf/KzMJKOgZ+OXYLeBsyf0/Bd0ehicLvzmiYiIiJQNJdCl2niwZxROZhP//fkvPliyj3ybnX/1b1R0Ej2gHrS5GzZNNRato+aX+eJaRERE5HLddNNNzJs3j1dffZU5c+bg7u5Oq1atWLJkCQEBAY4Or9LIWLmS3AMHMHt54Tv41kvO33ZyG2m5afi6+tIiqEU5RCilIisZpt0Cp/bB8jchpCm0vxdaDgVXr1J7Gbvdzur9p/h0xQGWxpwsGG8V4cuY7vW4rnkYzkX1Nz/LZoXN02DRi5CVZIw1vw36vQw+NUstThERESkZJdClWhnTvR4Ws4kXf9rFx0v3Y7XZeeb6xkUn0Xv8E7bOgMMr4eAyo0pFREREpIIZMGAAAwYMACA1NZUZM2bwf//3f2zcuBGr1erg6CqHpClTAfC79VYsXp6XnL/iqNG+pUvNLljMF69WlwrCmg9z7jWS5x6BkJcFJ3bBz0/Cwheg9TBofx8EN7zil7Db7Szbc5L3F+9lU+xpwKjB6dc0lDHd6xFd27/4b8CeFbcRfnnS2IsJILgJ3PAm1O1+xXGJiIjI1VECXaqd0V3r4mQ28e8fdjJ5+QHyrDbG39j0wsWsXyRE3wN/TjKq0Ov2VBW6iIiIVEjLly/n888/57vvvqNmzZoMHjyYjz76yNFhVQo5e/eSsXo1mM34Dx9eonPO9j/vHq6kZqWx6D+wfzE4e8DweeBXC7ZMh/WfQdJ+WDfZuNXtCR3ug4bXg6Vk/1y22+0s/usE7y/Zy7a4FABcncwMaR/Jvd3qUjvw0h/KkJEIi14wKs8BXH2g1zNGLJaLtHkRERGRMqcEulRLwzvXwWI28+z32/ly1SHSs/N55ZYWuDj97auU3cbBxqkQtx72LoCG/R0TsIiIiMjfxMfHM2XKFD7//HNSU1O54447yMnJYd68edpA9DIkffUVAN7XXotLRPgl58dnxBOTHIMJkzYQrSw2fwNrPjTuD/of1Ghp3O/8MHR8EA78YSTS9/xmfPP04DLwiYDoUdB2JHiFFPm0NpudBbsS+GDJXnYeSwXA3dnC3Z1qcV+PeoR4u106Nmu+0eN8ycuQbSTfaXUnXPsCeIde3fsWERGRUqEEulRbd3ashZPZxNNztzF7YxxxyVlMursdvh7nVXh4h0LH+2HVe0YVev2+YL5Iv0IRERGRcnDTTTexfPlyBgwYwMSJE7nuuuuwWCxMmjTJ0aFVKvlJSaT88CMAASNHlOiclUdXAtAiuAX+bv5lFpuUkiPrYP4Txv2eT0GzWwofN5uhfh/jdjoWNnxhbDKaGmes/5e+Ds0GQYf7IaI9mEzYbHZ+3RHPB0v2sjs+DQAPFwsjOtdhTPe6BHm5liy2w2vgl39CwnbjcVgLuOEtqNWpVN66iIiIlA4l0KVau6N9JME+roz9ZhNrDpzilo9X8cXI9tQJOu9rll2fgPVfQPw22P0TNL3ZYfGKiIiIAPz666889thjPPTQQzRo0MDR4VRap2fNwp6bi1vz5ri3bVuic9S+pRJJOQoz7wJrLjS+EXo+ffH5frWMyu+eT8OuebDuUzi6AbbPhu2zsYe1ZEvY7fx7f2N2nMwDwMvViVFd6nBPt7oEeLqULK60eFg4HrbNMh67+UGff0O70aCe+iIiIhWOSmml2uvdKIQ5D3Whpq8bB05mcMv/VrHuYNK5CR4Bxtc7AZa8AjZtxiUiIiKOtXLlStLS0mjXrh0dO3bkww8/JDEx0dFhVSq23FySpk8HjOrzS27uCORac1l7fC0A3SOUQK/QcjNh5p2QcQJCmsEtn5T8m6TObtBqKNy3GO5fiq3VXVjNrpjit9Fmy7/5OnUUL7pNZ3wXN1Y9dQ3/179RyZLn1jxY/SF8EH0meW4yWsQ8ugnaj1HyXEREpIJSAl0EaFLDh3lju9IqwpfkzDzu/uxPvt8cd25Cp4eNypDEGNg+x2FxioiIiAB06tSJTz/9lOPHj/PAAw8wc+ZMatasic1mY+HChaSlpTk6xAov7ddfsZ5MxCkkBJ/+JdvnZtOJTWTmZxLoFkiTgCZlHKFcMbsdfhwLx7eARyAMmwGuXpf9NHlWG98eC6L3vttpl/k+r+YNI44Q/EwZjGQ+92wajO/coRDz26WLbA4sg4+7woLnIDcNwtsZCfqB74Nn4JW9TxERESkXSqCLnBHi7cbM+ztzffMwcq02/jFrK+8siMFut4O7H3R9zJi4dIJRPSIiIiLiYJ6entxzzz2sXLmS7du38+STT/Laa68REhLCwIEDHR1ehWW32zk1dSoA/nfdhcmlZK03zrZv6RbeDbNJ/5SqsFa+Azu+A7MT3PEV+Ne+rNNz823MWBdL77eW8q852zh8KhOzZyD+ff+J31M74M5vjb2RMMG+RTBjCLzfBlZOhMykwk+WEgezR8FXA41iHI9AGPgB3LvISKKLiIhIhWey2+12RwdRnlJTU/H19SUlJQUfHx9HhyMVkM1m580FMXy8dD8AA1vV5I3bWuJmy4L3W0PGSbjpfWg30rGBioiISKVQ3utPq9XKTz/9xBdffMGPP/5Y5q93NRy1Ns9cv57Dw0dgcnOj/h9LcPIv2WagA+cN5GDKQd7q+Rb965Ssal3KWcyvMGMYYIcb34Xoe0p8anaeldkbjvDx0v0cS8kGIMjLhQd6RHFXp1p4uPxtC7GkA7D+c9j8NWSfNsYsrtD8VogeDYdWwPK3IC8TTGajTUvvZ8Fdm8+KiIg4wpWuPZVAFynGtxuO8Ozc7eTb7LSt5cfkEdEEbf8cfn8GfCLgsU3g5OroMEVERKSC0/qzeI66NkfGjiV90WL8hgyhxosvlOyctCPcMPcGLCYLK4auwNvFu2yDlMt34i/47FrITTeS1QPeLtFp2XlWZqyLZdKy/SSk5gAQ4u3Kgz2jGNahFu4ul+hNnptpVLyv/xSOb73weK3OcMObENbict+RiIiIlKIrXXs6XXqKSPV0R3QkEf7uPDhtI5tiT3PL/1bx5V23U9/7A0iNg41ToeP9jg5TRERERC6D3WbD7OEBzs4EjBhe4vPOtm9pE9JGyfOKKDMJZgw1kud1usN1r136lNx8pv8Zy6RlB0hMNxLnNXzdeKhXFHdER+LmXMJNPV08oO1waHM3xG2AdZNh1zyj0rzvy9DyDijBJrUiIiJSMakCXeQS9p9M554p6zl8KhNvNye+bx9D/fX/Bq9QeGyLsWAWERERKYbWn8Vz5LXJT04ucesWgIcWPcTKoyv5R7t/cE/zkrcFkXJgzYOvB8PB5eBXG+7746Ibc2bk5DNt7WE+XX6AUxm5AIT7ufNw7yhuaxeBq1MJE+cXk58DFhclzkVERCoQVaCLlJGoYC++f7grD07byLpDSdy4qg4bfMPxSj8K6z87t7moiIiIiFQal5M8z8rPYn38egC6h3cvq5DkSv3+nJE8d/GCYTOLTZ7bbHamr4vl7QUxJGfmAVArwIOxvetzS9twnC2luDGsWj2KiIhUGdo6XqQEAjxdmDamA7e0CSfbZuGF1BsBsK98F7JTHRydiIiIiJSl9fHrybHmEOYZRn2/+o4OR863cQqs+8S4P3gyhDYtctr+k+kMnbyW5+ftIDkzj7pBnrx9eyuWPNmTO9pHlm7yXERERKoUVaCLlJCrk4V37mhF3SBP3lto5SHLj0RlHSd39f9wueZpR4cnIiIiImXkbP/z7uHdMaklR8VxeDX8/H/G/Wueh8YDLpiSZ7UxefkB3lu8l9x8Gx4uFv7ZvxHDO9XGSUlzERERKQEl0EUug8lk4rE+DagT5MmHc27nXd4nb8V7JDcbSWhoDUeHJyIiIiKlzG63s+LouQS6VBCnY2HWcLDlQbPB0P3/LpiyLe40T323nb+OG98Y7dkwmFduaU6Ev/YwEhERkZLTR+4iV2Bgq5rcfe8T7KUWnvZMfv3kOXYcTXF0WCIiIiJSyg6mHORo+lGczc50rNHR0eEIQG4GzLgTMhMhrCXc/FGhzTqzcq288vMuBn20ir+Op+Lv4cy7Q1oxZXR7Jc9FRETksimBLnKF2tUJxG/AiwDcbp3Pg5/8xqJdCQ6OSkRERERK09nq8/Zh7fFwVvLV4Ww2+P5BSNgOnsEwbAa4nPvvsmpfIv0nLufTFQex2Y3Cl0XjenJLmwi13xEREZErogS6yFUIjr6F/LDWeJpyGGmbx33TNvD5yoPY7XZHhyYiIiIipeD8/udSASx/E/76EczOMORr8I0AICUzj3/N2cpdn/1JbFImNX3d+GJUNO8Pa0Ogl6uDgxYREZHKTAl0kathMuF07b8BGOW8iBB7Ei/P38W/f9hBvtXm4OBERERE5Gqk56az8cRGALpHKIHucLt+hKWvGvdvfBdqdQLg1+3HufbdZXy7IQ6AEZ1rs2BcT65pHOqoSEVERKQKUQJd5GpF9YFanXG25/Jl1HJMJvh6bSyjp6wnNTvP0dGJiIiIyBX68/if5NvyqeVdi9o+tR0dTvUWvwO+f8C43/EhaDuchNRsHpi2gYe+2cTJtByigj2Z82BnXrq5OV6uTo6NV0RERKoMJdBFrpbJBNc8D0DT498z5ZZQ3J0trNibyG0fr+ZIUqaDAxQRERGRK3G2/7mqzx0sIxFmDIO8TKjXC3u/l5mxLpZr31nG7zsTcDKbePSa+vz8WHei6wQ4OloRERGpYpRAFykNdbpBvV5gy6PnsS+Z/WBnQn1c2ZOQzi3/W8Wm2GRHRygiIiIil8Fut6v/eUWQnwvfjoCUWAioR+w1HzHs8w08M3c7adn5tIrw5adHu/Fkv0a4OVscHa2IiIhUQUqgi5SWa4xe6GydTnPXk8x7pCtNa/iQmJ7L0Mlr+WHLUcfGJyIiIiIlFpMcw4msE7g7uRMdFu3ocKqv356Cw6uwu3gzs/4b9J20nbUHknBzNvP8gCbMfbgrTWr4ODpKERERqcKUQBcpLRHR0PB6sNtg6QRq+Loz+8HOXNskhNx8G4/P3MKD0zaSkJrt6EhFRERE5BLOVp93DOuIq8XVwdFUU+s/gw1fYMfEiy7jeHp5Ljn5NrrVD2LBEz0Z070eFrPJ0VGKiIhIFacEukhp6v2s8XPHd5CwE09XJz4ZHs2j19THyWzit53xXPvOMr758zA2m710XjM/B/76CWYNh/daw465pfO8IiIiItWY+p872MHl2H99CoA38ocyJbERvu7OvHlbS6bd24FagR4ODlBERESqCyXQRUpTjZbQdBBghz9eBcBiNvFkv0b89Gg3WkX4kpadz3Pf72DI5DXsO5F+Za9js8HB5fDDWHizAcy6G/76EZIPwpzRsOwNsJdSgl5ERESkmknJSWHrya0AdAvv5uBoqqGkg+TNHIHJls/31q58nH8jA1rUYNG4ntweHYnJpKpzERERKT9KoIuUtt7PgskMu+fDsc0Fw01q+DD34a6Mv7EpHi4W1h9K5ob3VvDeor3k5tsu/bx2OxzfBgueh3ebwdSbYPM0yEkBn3Do8hh0uN+Y+8crMPc+yFO7GBEREZHLtfrYamx2G/X96lPTq6ajw6lWUlOSiJ88GOecZLbY6vGu2yNMHh7NR3e1JdhbrXRERESk/Dk5OgCRKie4EbS4A7bNhCWvwN1zCg5ZzCbu6VaXfs1C+fe8HfwRc5J3F+1h/rZjTBjcgug6ARc+X/Jh2D7buJ3cfW7czRea3my8Vu2uYD7zeVhoM/j5SWN+8iEYOh28Qsr2PYuIiIhUIWf7n3cPV/uW8rRw53Fc5gynp/0ACXY/fmv+NvMHdsfHzdnRoYmIiEg1pgS6SFno9ZSRwN63EGLXQq1OhQ5H+Hvwxaj2/LTtOC/9tJO9J9K5bdIa7u5Ui39d1xgfayrsnGs8x5E/z51ocYWG/aHlHdCgHzgVUYXTbhQE1DN6oseth0+vgTtnGYl1EREREbkom93GyqMrAfU/Ly/JGbm8/f1yGu6exAin9eTizMkbvuDpjtc4OjQRERERx7ZwmTBhAu3bt8fb25uQkBAGDRpETEzMJc+bPXs2jRs3xs3NjRYtWvDLL7+UQ7QilyGgHrS527i/+OUi+5GbTCYGtqrJonE9uSM6AneySV03k22v98f2VkP45f/OJM9NULcnDPwQ/rkXhkyDJjcVnTw/q24PuG8JBNaHlCPweT+I+a1s3quIiIhIFbIjcQfJOcl4OXvROqS1o8Op2nIz2PbLZHa91Y8X997GCKeFxvjA92nesY9jYxMRERE5w6EJ9GXLlvHII4+wdu1aFi5cSF5eHv369SMjI6PYc1avXs2wYcO499572bx5M4MGDWLQoEHs2LGjHCMXKYEe/wSLCxxeCQeXFT3Hmo/f0eW8Yf6IHV5jed/lQ7rZN2K253PYpQFpPV+EcX/ByB+h7XCjbUtJBUbBmEVGMj03HWYMhdUfanNRERERkYtYcdRo39K5ZmeczWodUupsVtj/Bzmz7yP7tSharvsnXe2bsZjsZAS3gVs/x6XtnY6OUkRERKSAyW6vONm0kydPEhISwrJly+jRo0eRc4YMGUJGRgbz588vGOvUqROtW7dm0qRJl3yN1NRUfH19SUlJwcfHp9RiFynSr0/Bn5Mgoj3cuxBMJiOBHbcBtn8LO+ZCZmLBdJtfHdZ69ubFg82IsdXE282Jp69vzLD2tTCbTVcWgzXPqGbfOMV43HYk3PAWOLlc/fsTERGRS9L6s3gV8doMnT+Unad28lKXl7ilwS2ODqfqiN9h7BG0fQ6kHS8YPmwP4UjEQNoPfBDX0AYODFBERESquitdezq0Av3vUlJSAAgIKGIjxTPWrFnDtddeW2isf//+rFmzpsj5OTk5pKamFrqJlJtu48DJ3ehFvv4zY1PR99vA59fCuslG8twjENrfB/cuxPz4FrrcN5GJjw6hVYQvadn5PPf9DoZMXsO+E+lXFoPFGW6cCP0ngMkMm6bC14MhM6lU36qIiIhUfh999BF16tTBzc2Njh07sm7duhKdN3PmTEwmE4MGDSrbAMtYYlYiO0/tBKBbeDcHR1MFpB6DVe/Dx11hUldY/QGkHee03ZOv8/vwmMfrJN+7jm73va3kuYiIiFRYFWYTUZvNxhNPPEHXrl1p3rx5sfPi4+MJDQ0tNBYaGkp8fHyR8ydMmMCLL75YqrGKlJh3KHS8H1a9Z1SBn+XsAY0HQIs7IKq3keQ+T5MaPsx9uCtTVx/irQUxrD+UzA3vreCR3vV5qFcULk6X+dmXyQSdHzbausy5Fw6tgM+uhTu/haD6pfBGRUREpLKbNWsW48aNY9KkSXTs2JGJEyfSv39/YmJiCAkJKfa8Q4cO8X//93907175N9xcdXQVAE0CmhDsEezgaCqpnHT46yej2vzAMsD4wrPN7MxSe1tm5nRhub01o3s25o0+DXBztjg2XhEREZFLqDAV6I888gg7duxg5syZpfq8zzzzDCkpKQW3I0eOlOrzi1xS1yfAMwRMFmjQDwZ/Bv+3F279DBr2uyB5fpbFbOKebnVZ8I8e9G4UTK7VxruL9jDg/RVsOHSF1eMN+8O9v4NvLUjaD59dAweWXvFbExERkarjnXfe4b777mP06NE0bdqUSZMm4eHhwRdffFHsOVarlbvuuosXX3yRevXqlWO0ZeNs//PuEZX/w4ByZc2HvYvgu/vgrQYw78Eza0w7eeEdmRU6jtaZH3FP1uMcCOrNzId78dR1jZU8FxERkUqhQlSgjx07lvnz57N8+XIiIiIuOjcsLIyEhIRCYwkJCYSFhRU539XVFVdX11KLVeSyeQTAoxvAbgN3/8s+PcLfgy9GtWf+tuO8+NNO9p5I57ZJa7i7Uy3+dV1jfNwuc3Or0GZw3xKYeSfErYOvbzV6okePvuzYREREpGrIzc1l48aNPPPMMwVjZrOZa6+9tthWiQAvvfQSISEh3HvvvaxYseKSr5OTk0NOTk7B44rUXjHfls/qo6sB6B6uBPol2e0Qvw22zoIdcyD9vH+jBURBq6Esd+vNuIUpJKbnYDbBQz2jeFxV5yIiIlLJOLQC3W63M3bsWL7//nuWLFlC3bp1L3lO586dWbx4caGxhQsX0rlz57IKU+TqufleUfL8LJPJxE2tarJoXE/uiDY+ZPp6bSx931nG7zuLbl90UV7BMPIno4WMLR/mPwG/PQM26xXHKCIiIpVXYmIiVqv1slolrly5ks8//5xPP/20xK8zYcIEfH19C26RkZFXFXdp2nJiC2l5afi5+tEiqIWjw6m4UuJgxTvwv87wSQ9Y+5GRPPcIhA73w5jFJN+zhseP92XE9ydITM+hfogXcx/uqqpzERERqZQcWoH+yCOPMH36dH744Qe8vb0LFue+vr64u7sDMGLECMLDw5kwYQIAjz/+OD179uTtt99mwIABzJw5kw0bNjB58mSHvQ+R8uLn4cIbt7ViUJtwnp27nUOnMnlg2kauaxbGizc3I9THreRP5uwGgydDUEP447+w9n9wah/c+jm4lXwnYhEREal+0tLSGD58OJ9++ilBQUElPu+ZZ55h3LhxBY9TU1MrTBL9bPuWruFdsZiV5C3EmgfbvoWtM+DQSs72NcfiCo2uh1ZDof61YHHm953xPDdlRUHV+QOqOhcREZFKzqEJ9I8//hiAXr16FRr/8ssvGTVqFACxsbGYzecK5bt06cL06dN5/vnnefbZZ2nQoAHz5s276MajIlVNl6ggfnuiB+8v3svk5Qf4bWc8q/Yn8vT1jRnWvhZms6lkT2QyQc9/GhuJfv8Q7F0AX/SHYTPBv3bZvgkRERGpMIKCgrBYLCVulbh//34OHTrETTfdVDBms9kAcHJyIiYmhqioqAvOq8jtFQv6n6t9S2GnY41N6OPWnRur3Q1aDYGmNxvftASSM3J54afN/LDlGAANQrx46/ZWtIr0c0DQIiIiIqXHZLfb7Y4Oojylpqbi6+tLSkoKPj6qspXK76/jqTz93Ta2xqUA0CLcl/E3NaV9nYDLe6Kjm2DGMEiPB48gGDodanUsg4hFRESql8qy/uzYsSMdOnTggw8+AIyEeK1atRg7dixPP/10obnZ2dns27ev0Njzzz9PWloa7733Hg0bNsTFxeWSr1lRrk18Rjx95/TFhInlQ5bj5+bnsFgqlN0/w7yHIfs0uPpA18eg5RDwq1Vo2u8743nu+x2qOhcREZEK7UrXnhViE1ERuXJNavgw9+GuTF19iHcX7mH70RRun7SGAS1r8PR1jYkM8CjZE4W3NTYXnTHU2BBq6o1w80fQ8o6yfQMiIiJSIYwbN46RI0cSHR1Nhw4dmDhxIhkZGYwebWw0fn5rRTc3twu+Aern5wdQKb8Zerb6vGVwSyXPAfJzYOF/4E/jG8PUbAu3fQEBhfesMqrOd6rqXERERKo0JdBFqgCL2cQ93eoysHVN3lm4h5nrYvl523EW7kpgTLe6PNy7Pl6uJfjf3Tcc7vkN5t4Pu+fD3PsgcQ/0ehbMDt1zWERERMrYkCFDOHnyJOPHjyc+Pp7WrVvz22+/FWws+vfWilXJiji1bylwaj/MGQ3HtxqPO4+FPv8Bp8LfKFDVuYiIiFQXauEiUgX9dTyVl+fvYvX+UwAEebnyr/6NuLVdBJaS9Ee32WDJS7DyXeNx05th0CRwKWE1u4iIiBTQ+rN4FeHa5Fpz6TazG1n5Wcy6cRZNA5s6JI4KYcd38OPjkJsG7v7G+q/RdYWmqOpcREREKqsrXXtWzRISkWquSQ0fvhnTkU9HRFMn0IPE9Bz+9d02Bn64krUHTl36CcxmuPYFuPl/YHaGXT/AlBsg9XiZxy4iIiJSnjYkbCArP4sg9yAaBzR2dDiOkZcFPz0Oc+4xkue1OsODqy5Inv++M56+7y7nhy3HMJvgoV5R/PRoNyXPRUREpEpTCxeRKspkMtG3aSg9Gwbz1ZpDvLd4LzuPpTJ08lqubx7GM9c3oVbgJSrK29xl9LqceRcc2wyfXgPDZkDN1uXyHkRERETK2tn2Ld3Cu2E2VcP6opMxMHs0nNgJmKD7k9DrGbCc+6diWnYez8/boapzERERqZaq4QpRpHpxcTIzpns9lv5fL+7uVAuzCX7dEc+17yzjtV93k5add/EnqN3F2Fw0qBGkHYMvr4ftc6B6dX8SERGRKmrl0ZUA9Ijo4eBIHGDLdJjcy0ieewbD8LnQ598XJM9HfLFOVeciIiJSbSmBLlJNBHq58t9BLfj18R50qx9ErtXGpGX76f3WUmaui8Vqu0hCPKAujFkIUddAXiZ8dy9MHwLJh8otfhEREZHSFpsay6HUQziZnOhUo5Ojwyk/Oekw9wGY95Cxtqvb02jZEnVNoWnpOfmM/GIdm2NP4+vuzOwHu/DUdY21UaiIiIhUK0qgi1QzjcK8mXZvBz4fGU29IE8S03N5eu52bvxgJav3JxZ/opsv3DkbevzL6Iu+93f4qBOseBvyc8vvDYiIiIiUkhVHjfYtbULb4O3i7eBoykn8dqPqfNtMMJnhmudh+PfgHVpo2tnk+aYzyfNvxnSkXW1/x8QsIiIi4kBKoItUQyaTiT5NQvntiR78+8am+Lg58dfxVO789E/u/2oDhxIzij7R4gTXPAcPrYY63SE/Cxa/BJO6waGV5fsmRERERK7S2QR69/DuDo6kHNjtsP5z+LQPnNoL3jVh1M/Q459gLlxRnp6Tz6gv1rHxcDI+bk58fW9Hmof7OihwEREREcdSAl2kGnNxMnNvt7os/WdvRnSujcVsYsGuBPq+u4xXf/mL1OL6owc3hJE/wS2TwSMIEmNgygD4/iHIuEgVu4iIiEgFkZWfxfrj64FqkEDPToHZo+DncWDNgQb94cGVxl43f5ORk889X65nw+FkvN2c+HpMR1pEKHkuIiIi1ZcS6CJCgKcLL93cnF8f7073BkHkWe1MXn6A3m8u5Zs/D5NvtV14kskErYbAoxsg+h7ABFunwwftYONUsBVxjoiIiEgFse74OnJtudTwrEGUX5Sjwyk7RzfCJz1g1zwwO0G//8KwmeAZeMHUzNx8Rk9Zz7pDSXi7GpXnLSP8yj1kERERkYpECXQRKdAw1Juv7unAl6PaExXsyamMXJ77fgc3frCSVfuKqSx394cb34V7F0JoC8g+DT89Bl/0h/gd5Rq/iIiISEmd377FZDI5OJoyYLfDmv/B5/2Njd/9asE9v0OXR8F84T8DM3PzuWfKetYdNJLnX93bgVaRfuUetoiIiEhFowS6iBRiMpno3TiE357owQs3NcXX3Znd8Wnc9dmfjJm6gYPF9UePbA/3L4X+E8DFC+LWGdVOvz8HOenl+h5ERERELsZut7Mizkig94jo4eBoykBmEsy8E35/Bmx50GQgPLACIqKLnJ6Va+XeKRtYeyAJL1cnpt7bgTa1tGGoiIiICCiBLiLFcLaYGdW1Lsv+2YtRXepgMZtY9FcC/d5dxr/n7SD2VOaFJ1mcoPPD8Mg64x9qdius+RA+6gB/zTcqoUREREQc7EDKAY5lHMPF7EL7sPaODqd0xa41NniP+QUsLnDDW3DHV+DuV+T0rFwr905dz5oDp4zk+T0daKvkuYiIiEgBJdBF5KL8PFx4YWAzfn+iO70bBZNntTNt7WF6vfUHj3yziS1HTl94km84DJkGd84Gv9qQehRm3QUzhkLy4XJ/DyIiIiLnO1t93j6sPR7OHg6OppTYbLDibfjyBmPtFRAFYxZDh/uMvWuKkJ1nZcxX61m9/xSeLham3tOedrWVPBcRERE5nxLoIlIi9UO8+XJ0B6aP6UjPhsHY7PDz9uMM+mgVd0xaw8JdCdhsf6swb9gPHl4L3Z8EszPs+Q0+6ggr34X8XMe8EREREan2CvqfR3R3cCSlJP0EfHMrLH7J+AZgizvggWVQo2Wxp2TnWbnvqw2s2ncKDxcLU+/pQLvaAeUYtIiIiEjl4OToAESkculSP4gu9YPYHZ/Kp8sP8uPWo6w7lMS6Q0nUC/bkvu71uKVNOG7OFuMEFw/oMx5aDoH54+DwSlj0AmydaWw+WruLQ9+PiIiIVD/tw9qTlptGt/Bujg7l6h1aBXNGQ3oCOLnDgLeg9V3FVp3DueT5ir2JeLhYmDK6A9F1lDwXERERKYrJbq9eTYlTU1Px9fUlJSUFHx8fR4cjUunFp2Tz5eqDTF8bS1pOPgBBXi6M6FyH4Z1q4+/pcm6y3W4kzhc8D5mJxljru6HvS+AZ6IDoRUREyp7Wn8XTtblKp2Ph466QkwrBTeD2KRDS+KKnZOdZeWDaRpbtOYm7s4Upo9vTsZ7WYSIiIlL1XenaUwl0ESkVadl5zFp/hC9WHuRYSjYAbs5m7oiO5N5udakd6HlucmYSLH4RNk4xHrv7G0n01neDWZ2lRESkatH6s3i6NlfBZoOvBsKhFRDRHkb8aHzz7yJy8o3k+dIYI3n+5ej2dFLyXERERKoJJdBLSIt0kbKVZ7Xxy/bjTF5+gJ3HUgEwm+C65mHc170ebWqdtzHVkXUw/x+QsMN4HNkJbnwHQps5IHIREZGyofVn8XRtrsLaSfDbU+DsAQ+uhMCoi07Pybfy4LSN/BFzEjdnM1+O6kDnKCXPRUREpPpQAr2EtEgXKR92u501+08xecUBlsacLBhvX8ef+3tE0adxCGazCaz58Ock+ONVyMsAsxN0ehh6PQ0unhd5BRERkcpB68/i6dpcoZN74JPukJ8NA96G9mMuOj0n38pDX29iye4TuDmb+WJke7rUDyqnYEVEREQqBiXQS0iLdJHyFxOfxqcrDvDDlqPkWY1fOfWCPBnTvR6D257ZcDQlDn57Gv76yTjJ3R98I8HN17i5+4Gb37nHhe6fPe5rVGFdZNMsERGR8qb1Z/F0ba6ANR8+7wvHNkHUNXD33IuufXLzbTz8zUYW/XUCVyczX4xqT1clz0VERKQaUgK9hLRIF3GchNRspqw+xNdrD5OWbWw4Gujpwsgudbi7U20CPF0g5jf45Z+QEntlL2J2uniC/fwEvLuf0TPUzbeU3qGIiMiFtP4snq7NFVj2BvzxirF+eWgN+IYXOzU338Yj0zexcFcCrk5mPh/Znm4NlDwXERGR6kkJ9BLSIl3E8dJz8gs2HD16OgswNhy9vV0kY7rXpbaPBeK3Q1YyZKdA9ukzP/9+/8wt68yY3Xr5wbh4Q/t7oNMj4B1amm9TREQE0PrzYnRtLtOxzfDZtWDLh8GfQcvbi52aZ7XxyDebWLArARcnM5+NiKZHw+ByDFZERESkYlECvYS0SBepOPKtNn7efpxPVxxgx1Fjw1GTCa5rFsaY7vVoW8sPU0nbsdjtkJtRskT72WOnY+H0YeN8iyu0uQu6PAYBdcvi7YqISDWl9WfxdG0uQ142TO4JJ3dD05vh9qnFtm7Js9p4dPpmftsZj4uTmU9HRNNTyXMRERGp5pRALyEt0kUqHrvdzpoDp/h0+QH+OG/D0SY1fBjaPpJBrcPx9XAu/Re22WDv77DiHYhbZ4yZzND8Vuj6BIQ1L/3XLAtpCXB0A4RHq4peRKQC0vqzeLo2l+H352DNh+AZAg+vBc/AIqflWW08NmMzv+6Ix8ViZvKIdvRqFFLOwYqIiIhUPEqgl5AW6SIV256END5dfoAfth4jN98GgKuTmRta1GBI+0g61g0oeVV6SdntcHiVkUjfv/jceIP+0H0c1OpUuq9XGnLSYfd82DYLDiwFuw2cPaHLo9BlLLh6OzpCERE5Q+vP4unalNChlTDlRsAOw2ZBo+uKnJZntfH4zM38st1Inn8yvB29Gyt5LiIiIgJKoJeYFukilUNKZh7zthxlxrpYdsenFYzXDfJkSPtIbm0bQbC3a+m/8PGtsPJd2DkPOPPrsVZn6DYOGvQt9qvS5cKaDwf+MJLmu3+GvMxzx7xrQNpx475nMPR6GtqOBEsZVO6LiMhl0fqzeLo2JZCTBh93MVrPtRkON39Y5LR8q43HZ23h523HcbaY+GR4O65prG+miYiIiJylBHoJaZEuUrnY7Xa2xaUwc/0RftxylIxcY6NQJ7OJPk1CGNqhFj0aBGMxl3Ji+9R+WPUebJ0B1lxjLLQ5dPsHNB0EFqfSfb3i2O1wdBNs/xZ2fAcZ51rcEBAFLYdAi9sgoB7smgeLX4KkA8bxwPrQ5z/Q5CbHJv5FRKo5rT+Lp2tTAj8+Cpu+Ar9a8OAqcLvwOuVbbfzj2638tPUYzhYTk+5uR58mSp6LiIiInE8J9BLSIl2k8srIyefnbceZuT6WTbGnC8Zr+rpxe3Qkt0dHEOHvUbovmnoM1nwEG76EvAxjzL8OdH0cWt0Jzm6l+3pnJR2AbbONavOk/efGPYKMHu0th0B42wsT4/m5sHEKLHsdMhONsYgO0O/litmKRkSkGtD6s3i6Npew53eYfgdgglHzoU63C6bkW22M+3YrP55Jnn98VzuubarkuYiIiMjfKYFeQlqki1QNMfFpzFp/hLmb4zidmQcYueQeDYIZ2j6SPk1CcXEyl94LZibB+s9g7ceQlWSMeYVCp4ch+p4iq8EuW8Yp2DkXtn17blNTACd3aDzASJpH9S5ZW5bsVFj9vpH8P9vqpdEAuPYFCG549bGKiEiJaf1ZPF2bi8g4Bf/rBBknoPNY6P/KBVPsdjv/mrON2RvjcDKb+N9dbenXLMwBwYqIiIhUfEqgl5AW6SJVS3aelQW7Epi5LpbV+08VjAd5uXBr2wjuaB9JVLBX6b1gbobxNerVH0DqUWPMzRfa3wcdHwSv4Mt7vrwsiPnVSJrvWwi2fGPcZIa6PY2keZMbr3xT0NTjsHQCbJ5mbDRqskDbEUaPdG/9A1tEpDxo/Vk8XZti2O0weyTs+gGCG8P9y4r81tu0NYf49w87sZhNfHRnW65rrr/bRURERIqjBHoJaZEuUnUdPpXBtxuOMHtDHCfScgrGO9QJYGiHSK5vXgN3F0vpvFh+LmyfDasmQuIeY8zJHdoOhy6PGn1Ki2OzwqEVRtJ814+Qe26TVGq0MpLmzW8t3QT3id2w+EWI+cV47OxhxNnl0StPzouISIlo/Vk8XZtibJsNc8eA2QnGLIKabS6Ysjk2mTs+WUOe1c7zA5owpns9BwQqIiIiUnkogV5CWqSLVH35Vht/xJxk1vpYluw+ge3MbzlvNyduaRPOkPaRNKvpWzovZrNBzM+w4h04tskYM1mgxe3Q7QkIaWKM2e2QsMPoab59DqQdP/ccvrWg5e3Q4g4IaVw6cRXn8GpY8G84usF47BkMPZ+CdqNK1hpGREQum9afxdO1KULqMaN1S3YK9HoWej11wZSkjFxufH8Fx1Kyub55GP+7qy0mbRguIiIiclFKoJeQFuki1Ut8SjZzNh5h1oYjHEnKKhhvEe7L0A6R3NSqJj5upZA4ttvh4DJY+S4cWHpuvNEAo2ps51w4sevcuJsfNLsFWt4BkZ3AXIr92ksS664fjIr0pAPGWEAU9BkPTW++cGNSERG5Klp/Fk/X5m/sdvh6MOxfAjXbwr0LLviA22qzM+rLdazYm0i9IE9+GNsV79JYy4iIiIhUcUqgl5AW6SLVk81mZ/X+U8xcH8uCnQnkWm0AuDmbua5ZGLdHR9K5XiBmcykkj49uNBLpf80HzvsVa3GBhtcZLVoa9AUn16t/rathzYONU2Dpa5CZaIxFtIe+L0HtLg4NTUSkKtH6s3i6Nn+z/jP4+UlwcoMHVhS58fc7C/fw/uK9uDtbmPdIVxqFqRWbiIiISEkogV5CWqSLSFJGLnM3xTFr/RH2nkgvGA/3c2dw23BuaxdB7UDPq3+hkzGw5iNIi4fGA6DpQHD3v/rnLW3ZqcamqGs+hLxMY6zRDXDtCxDcyKGhiYhUBVp/Fk/X5jyn9sOkbsbfxde9Bp0eumDKHzEnuGfKeux2eHdIK25pE+GAQEVEREQqJyXQS0iLdBE5y263sy0uhdkbj/DjlmOkZucXHOtQJ4DboiO4oUUNvFydHBhlOUqLh6UTYNNXYLeByQxthkOvZ8CnhqOjExGptLT+LJ6uzRk2K3xxHcStgzrdYcSPF7R3O5KUyU0fruR0Zh53d6rFfwe1cFCwIiIiIpWTEuglpEW6iBQlO8/Kwl0JzNkYx4q9Jws2HvVwsXB98xrc1i6CjnUDSqfFS0V3MgYWvWhsjgrg7AGdH4Euj4Gbfm+KiFwurT+Lp2tzxop3jL1JXLzh4dXgV6vQ4Zx8K7dPWsO2uBRaRfjy7YOdcXWyOChYERERkcpJCfQS0iJdRC4lPiWb7zbF8d3GOA4kZhSMRwa4c2vbCG5tG0FkgIcDIywnh9fAwn9D3HrjsUcQtL4TPALB1RvcfI2fhW4+xk+LNjMTETmrMq0/P/roI958803i4+Np1aoVH3zwAR06dChy7ty5c3n11VfZt28feXl5NGjQgCeffJLhw4eX+PUq07UpM/E7YHIvsOXBzf+DNnddMOW577fzzZ+x+Hk4M//RbkT4V4N1iIiIiEgpUwK9hLRIF5GSstvtbIpNZs7GOH7aepz0nHMtXjrXC+T26Aiuax6Gh0sVbvFit8NfPxoV6Un7S36ek9u5ZPrfk+tnb24+RY+7+4NvJJiqQbW/iFQLlWX9OWvWLEaMGMGkSZPo2LEjEydOZPbs2cTExBASEnLB/KVLl5KcnEzjxo1xcXFh/vz5PPnkk/z888/079+/RK9ZWa5NmcnPgU+vgYQd0GgADP3mgr//5m6KY9y3WzGZ4MtR7enV6ML/FiIiIiJyaUqgl1C1X6SLyBXJyrXy+854Zm88wur9pzj7m9PL1YkBLWpwW3QE0bX9MVXVpK81D7bOhPhtkJNm3LJTzt0/e8vPKp3Xc/OD8HYQEQ3h0cZ9z8DSeW4RkXJWWdafHTt2pH379nz44YcA2Gw2IiMjefTRR3n66adL9Bxt27ZlwIABvPzyyyWaX1muTZlZ9AKsfNf4dtfDf4JXcKHDu+NTGfTRKrLzbDzepwH/6NvQMXGKiIiIVAFXuvaswmWTIiKlx93FwqA24QxqE05cciZzNx1lzsY4YpMymbXhCLM2HKFOoAe3tYtgcNsIavq5Ozrk0mVxhrYl+Eq+Ne+8hHrq3xLsf39cTBI+8xRkn4b9i43bWf51CyfVa7QEJ9cye8siItVJbm4uGzdu5JlnnikYM5vNXHvttaxZs+aS59vtdpYsWUJMTAyvv/56WYZadcT+CaveM+7f9N4FyfPU7Dwe+noT2Xk2ejQM5rE+DRwQpIiIiIgogS4icpki/D14rE8DHr2mPusOJjFnYxw/bz/OoVOZvLVgD28v3EO3+kHc1i6C/s3CcHOuRpt8WZzBI8C4XSlrnvFV9rgNcHSj8fPUXkg+aNx2zDHmmZ0hrMW5hHpENATUU+sXEZErkJiYiNVqJTQ0tNB4aGgou3fvLva8lJQUwsPDycnJwWKx8L///Y++ffsWOz8nJ4ecnJyCx6mpqVcffGWUkw7fPwB2G7QaBk1uKnTYbrfzr9nbOJiYQbifOxOHtMZSHTYyFxEREamAlEAXEblCJpOJjvUC6VgvkBcGNuOX7ceZszGOPw8msWJvIiv2JuLt5sQNzWvQp0kIXesH4emqX7uXZHGGmm2MG/cZY1nJcHTTuYT60Q1GpfqxTcaNycY8d3+jSv1sQj283dUl80VE5KK8vb3ZsmUL6enpLF68mHHjxlGvXj169epV5PwJEybw4osvlm+QFdHC8caHwj7hcN1rFxz+bMVBftsZj7PFxEd3tSXA08UBQYqIiIgIqAe6o8MRkSro8KkMvtt0lO82xnH09Lme4C4WMx3qBtCrUTC9GoUQFexZdXumlzW7HZIPFU6oH98G1pwL5/rXLVylHtZCrV9EpFxVhvVnbm4uHh4ezJkzh0GDBhWMjxw5ktOnT/PDDz+U6HnGjBnDkSNH+P3334s8XlQFemRkZIW+NqVu3yL4+lbj/vB5ENW70OE/D5zizs/+xGqz8/Kg5gzvVLv8YxQRERGpgtQDXUSkgqgd6Mm4vg15ok8D1h44xe8741kSc4IjSVms3JfIyn2J/Pfnv4gMcKd3oxB6NwqhU71A3F2qUauXq2UyQUBd49biNmMsPxcSthuV6meT6qf2nWv9sn22Mc/icqb1S/szt2jwq63WLyJSrbm4uNCuXTsWL15ckEC32WwsXryYsWPHlvh5bDZboQT537m6uuLqWo0/xMxKhh/OXM8OD1yQPD+Rls3YGZux2uwMal2TuzvWckCQIiIiInI+JdBFRMqI2WyiS/0gutQP4gW7nQOJGfyx+wRLY06y7mASR5Ky+GrNYb5acxhXJzOdowLp3SiEXo2CqR3o6ejwKx8nlzPtW9pBhzOtXzKTjBYvcRuNhHrcBshKMirXj26EPycZ8zyDzyXTI9ob7WNcvR33XkREHGDcuHGMHDmS6OhoOnTowMSJE8nIyGD06NEAjBgxgvDwcCZMmAAY7Viio6OJiooiJyeHX375hWnTpvHxxx878m1UbL/8E9KOQ2B9uPaFQofyrTbGTt/MybQcGoZ68ergFvqmmoiIiEgFoAS6iEg5MJlMRAV7ERXsxZju9cjIyWf1/lP8EXOCpbtPcCwlm6UxJ1kacxKAekGe9GoUQu/GwXSoG4Crk6rTr4hHANS/1rjBmdYvB89LqK83Wr9knISYX4wbgMkMwU3OJdQj2kNQQzCbHfdeRETK2JAhQzh58iTjx48nPj6e1q1b89tvvxVsLBobG4v5vN+DGRkZPPzww8TFxeHu7k7jxo35+uuvGTJkiKPeQsW283vj21AmM9zyCbh4FDr85oIY1h1MwsvViY/vboeHi/6pJiIiIlIRqAe6iIiD2e129iSkG8n0mBNsOJRMvu3cr2Z3Zwtd6wfRq1EwvRuHEO7n7sBoq6C8bIjfZiTT49YbVeopRy6c5+oL4W0Lt37RBqVSlORDsHMetBoK3mGOjkYqAK0/i1dtrk1aPPyvs/EtqB7/hGueL3T4tx3xPPj1RgD+d1dbbmhRwxFRioiIiFRpV7r2VAJdRKSCSc3OY9XeRP6IOcEfMSc5mVa4l2zDUK8zrV5CiK7jj7NFVdGlLvX4uQr1uA1GX/X8rAvnBUQVbv0S2gwszuUfb1nKToEV7xj95Ls8CrU6OTqiim3nPPjxUchJNTawHfUz+IY7OipxMK0/i1ctro3dDtOHwN7fIawljFlstB0742BiBgM/WElaTj5jutXl+RubOjBYERERkapLCfQSqhaLdBGpMux2OzuPpbJsz0n+2H2CTbHJnFecjperE93qB9G7cTDdGgSrOr2sWPPgxK5zCfW49UZC+e+c3I3+6WcT6pEdwTu0/OMtDTYrbPoKlvwXMhPPjdfva1RO1mztsNAqpLxs+P1Z2PC58djsBLZ840OWUT+Dj6pJqzOtP4tXLa7Npq+MD9YsLnD/Mgg9lyDPyrVyy/9WsTs+jfZ1/Jl+Xyd9MC4iIiJSRpRAL6FqsUgXkSrrdGYuy/cmsnT3CZbuOUlSRm6h47UDPegSFUjnqCA61wsk2NvVQZFWA5lnNiMtaP2yEXJS/jbJBC1uh55PQVB9h4R5RQ6ugN+egYTtxuOghhAeDdu/NZLCAE0GQu/nIKSx4+KsKBL3wexR565Xt3HQdjh8dTOcjjU2Cxz1s9q5VGNafxavyl+b5EPwcVfITYe+L0PXxwoO2e12/m/2Nr7bFEeQlws/P9adUB83x8UqIiIiUsUpgV5CVX6RLiLVhs1mZ9vRFJbGnGBpzEm2xZ0uVJ0ORruXLlFBdIkKpGO9QHzdq1h7kYrEZoNTe88l1I+shxM7jWMmM7QaZvS9Dajr2DgvJukgLPw3/PWT8djNF3o9A+3HGK1pkg7A0tdg27eAHTBByyHQ6ykIqOfIyB1n22yY/4SRHPMIgsGfnNu0NvkwTBlg9NQPamgk0b1CHBquOIbWn8Wr0tfGZoOpN8LhVVCrC4yaD+Zzm4LPWBfLM3O3YzbBN2M60Tkq0IHBioiIiFR9SqCXUJVepItItZaancf6g0ms3n+K1ftP8dfx1ELHzSZoHu5L56hAukQF0b6OPx4uTg6Ktpo4tgWWToA9vxmPzU7Q+k4jke5Xy6GhFZKTBivehjUfgTXXSPhH3wO9ngXPIhI6J/6CP145l2g3O0Gbu6HHv6pPv+/cTPj1X7B5mvG4TncY/OmFrVqSDsKUGyE1DoIbw8j54BVc/vGKQ2n9WbwqfW3WfwY/PwnOnvDQqkIfoG6PS+HWj1eTa7Xx1HWNeahXlAMDFREREakelEAvoSq9SBcROU9SRi5rD5xi9f5EVu8/xYGTGYWOO1tMtI70o/OZCvU2tfxwdbIU82xyVeI2wtJXYd8i47HZGdqOgO5POjbhbLPB1hmw+EVITzDG6vaE614r1KO3WMc2Gz3Sz74viyu0v9doYVKVk8QndhstW07+BZig57+MNj3mYv7/SToAXw6AtGMQ0hRG/gSeQeUZsTiY1p/Fq7LXJv0EfBBttPa6/k3oeH/BodOZudz4wUrikrPo2zSUycPbYTKZHBisiIiISPWgBHoJVdlFuojIJcSnZLPmQCKr9xkV6kdPZxU67upkpn2dgDMV6oG0CPfFSRuZla7YtfDHq3BwmfHY4grRo6HbP8q/P3bsWvjtaSMJDuBfF/q/Ao1ugMtN5BxeA0teNtoUgFFt2elB6PIouPuXbtyOZLfDlunwy/9BXiZ4hRpV5/V6XvrcU/uNdi5pxyG0OYz4sejqfqmStP4sXpW9Nt8/aHxAWaMV3PdHwQdsNpude6eu54+Yk9QO9ODHsd3UXk1ERESknFTKBPry5ct588032bhxI8ePH+f7779n0KBBxc5funQpvXv3vmD8+PHjhIWVLPFQZRfpIiKXwW63cyQpq6A6ffX+UySm5xSa4+XqRMe6AQUtXxqHeWM2q0KuVBxaCUtegdjVxmMnN6PPeNcnyr5y+/QRWPQf2PGd8djFG3r+Ezo+CE5Xsems3Q77lxgV6cc2GWNuvkYSveND4Op19bE7Uk660Yph20zjcb3eMHjy5fU0T9xrJNHTEyCshZFE9wgom3ilQtH6s3hV8tocWmn8v44JxiyGiHYFhz5YvJe3F+7B1cnM3Ie70Kymr+PiFBEREalmKmUC/ddff2XVqlW0a9eOwYMHlziBHhMTU+hNhoSEYDaXrEqySi7SRUSukt1uZ9+J9DPJ9ETWHkgiJSuv0Bx/D+eCZHqXqEDqBnnqK+dXw243KtGXvAJx64wxZw/ocD90fbz0E6u5GbDqPVj1PuRnASZoOxyu+Xfpbmxpt0PML0Yi/cQuY8wjCLqPg+h7wdmt9F6rvMTvMFq2nNpr9Ifv/ZzRpqaEa49CTsYYPdEzTkBYSxj5Y9Wq0pciaf1ZvCp3bax5MKkbnNwN7UbDTRMLDq3Ye5IRX6zDboc3b2vJ7dGRjotTREREpBqqlAn085lMphIn0JOTk/Hz87ui16lyi3QRkTJgtdn563hqQYX6uoNJZOZaC82p4etWkEzvWj+IMN9KmBitCOx22LfY2JTzbOW2ixd0egg6P3L1yVW7HbbPhoX/MXpwA9TuCtdNMFoLlBWbDXbONVrWJO03xrxrGtXubYaDpRK0LLDbYeOX8OvTYM0x4r/tc6jd5eqe98Ruozo1MxFqtIYRP4C7X2lELBWU1p/Fq3LXZtV7sHA8eATC2A0FH4YeO53FjR+sJCkjl6HtI3nt1pYODlRERESk+qlWCfTatWuTk5ND8+bNeeGFF+jatWux5+Tk5JCTc64tQWpqKpGRkVVnkS4iUg7yrDa2HjldUKG+6fBpcq22QnPqBXsayfSoIDrVC8Tf08VB0VZSdjvs+d1IpMdvM8ZcfY0keqcHjXYol+voRiP5e7bC3a8W9H0Zmt58+X3Or5Q1H7ZOh6WvQ2qcMeZfB3o9Ay1uL37jTUfLToWfHjc+BABo0A8GTSq9vuUJu2DqjZB5Cmq2hRHzruy/sVQKVS5JXIqq1LVJiYMP2xt7JNz8P2hzFwC5+TaGTF7D5tjTNA/3Yc6DXXBzrqC/+0RERESqsGqRQI+JiWHp0qVER0eTk5PDZ599xrRp0/jzzz9p27Ztkee88MILvPjiixeMV4lFuoiIg2TlWtl4OJlV+xNZvS+R7UdTsJ33t4nJBE1r+NC1fhCdowLpUCcAT1cnxwVcmdjtsHs+/DEBTuw0xtz8zvQSfwBcvS/9HKnHYfGLxgZ2YGzq2X0cdB7ruBYq+TmwcQosf8toXwIQ1Ah6PwtNBl5ZO5SycmyL0bIl+SCYnaDPf4xrV9oxxu+AqTdBVhJEtIe754Kb1iZVUZVKEpeyKnVtZt0Nf/0EtTrDqF8Kfme88ONOpqw+hI+bEz8/1p3IAA8HByoiIiJSPVWLBHpRevbsSa1atZg2bVqRx1WBLiJS9lKy8vjzwKmCCvU9CemFjjuZTbSO9KNL/SC6RgXSupYfrk6qvrsomw12zYOlr0FijDHmEWj0R29/H7gUkYDJy4I1H8KKdyEvwxhrNcxIAPvUKLfQLyo3A9ZNhpUTIfu0MRbW0ujF3qBv+VXGF8VuN2Jb8DxYc8G3Ftz2BUS2L7vXPL4NvhoIWckQ2RHu/q5kH5JIpVKlksSlrMpcmz0LYPrtYLLAgysgtBkAP249xmMzNgPw+cho+jQJdWSUIiIiItVatU2g//Of/2TlypWsWbOmRPOrzCJdRKQCO5GWzZr9p1i97xSr9icSl5xV6Libs5n2dQLoEhVE1/qBNKvpi8WsDUmLZLPCjrmwdMK5XuKeIdDtHxA9GpzdjcTvrnmwYDykxBpzIjrAda9BRDuHhX5R2Smw5iPjlnvmA5fIjtD8NqM3e1hzcPEsv3iykuGHsUb1P0DjG+HmD8tng89jW4wkenaKUbl61xxw9Sr715Vyo/Vn8arEtcnLgv91guRDxrdV+r8CQOypTK57bzmZuVbG9q7P//Vv5Ng4RURERKq5aptA79u3L97e3sydO7dE86vEIl1EpJI5kpTJqn2JrNp/ijX7E0lMzy103MfNiU71jM1Iu9YPJCrYC5MjK5ErIms+bP8Wlr1uJGkAvMKM/uh7F8LhVcaYTzhc+yK0uM2x1dwllXEKVr0L6z6F/OzzDpggqIGRTK/RyqhSr9GybBLacRtgzmg4HQtmZ+j3X6NdTnlev2ObYerNkJNibPJ61+zy/QChKDbrmT9bK42Nbd38jOvv7nfhfSfteXAxWn8Wr0pcmz9eNX43e9eEsesKvkXy7Pfbmf5nLB3qBjDjvk76oFhERETEwSplAj09PZ19+/YB0KZNG9555x169+5NQEAAtWrV4plnnuHo0aN89dVXAEycOJG6devSrFkzsrOz+eyzz/jggw9YsGABffr0KdFrVolFuohIJWa329mTkM6qfYms3n+KPw+cIi0nv9CcWgEe9GsaSr9mYbSr7a+kw/mseUZv82Vvnqs2B3ByN9q7dH3M8YnXK5EWDxunwrFNcHwrpB0vep5f7XNJ9bM3r5Are0273Wh5s+gFsOUbm5ve9iWEF72vSpk7uhG+GgQ5qVCnO9z5bdGtespaZhJs/hrWfwanD5fsHGfPvyXXz978i0+8u/sbG+VWpP73ZUTrz+JV+mtzar9RfW7NhdunQrNBAJxMy6Hr60vIzbfx7QOd6VA3wLFxioiIiEjlTKAvXbqU3r17XzA+cuRIpkyZwqhRozh06BBLly4F4I033mDy5MkcPXoUDw8PWrZsyfjx44t8juJU+kW6iEgVk2+1seNY6pmEeiLrDyWTm28rOB7o6cK1TULp1yyUrvWDcHNW73QA8nNh8zSjZ3dYS+gzHvwiHR1V6UlLgPhtRjL97K24ZK53jfOq1M8k1X0jLl5BnpkE8x6CPb8Zj5sOgoHvg5tvqb+Vy3JkPUy7BXLToG5PuHOW0aanPMRvN/48bZsN+WfaLrn5nUkImoye9VmnjXY32Wd/pgJXs5Q0GRunuvsbG6m2vtN43+aq9f+51p/Fq9TXxm6HrwfD/iUQ1cfYw+DM7523fo/hwz/20aaWH3Mf6qJvVYmIiIhUAJUyge4IlXqRLiJSDWTk5LN8z0kW7Epg8V8JpGafq073cLHQs2Ew/ZqFck2jUHw9nB0YqZS7rGQjyXt+Uj1xL0UmcN0DziTTzybVW4N/XaPa+fAa+O5eSD0KFle4bgJE31NxWt7E/mkk5XLToV5vGDaj7JLo1jz46yejhU7s6nPjoS2gw33Q4vaLV8HbrEbFfFbyhcn1rNOF7//98dmNbv/OJwJaDzM2wA2MKp336WBafxavUl+bnd/D7FHG75GH1xT8ec3IyafzhMWkZucz6e52XNc8zLFxioiIiAigBHqJVepFuohINZNntbH+YBILdiWwYGc8x1LO9ci2mE10qhdA3yah9G0WRrhfOVXpSsWSkw4JOwsn1U/+ZbRk+TsXbwhpYrRKsVshsD7cPgXCWpR72Jd0eA18fauRZI7qA0Ong7Nb6T1/WgJsmgobvjjXLsfsBE0GQof7oVansv9AIT/3XFV7ejzs+gG2zzY2Uz2rVhdoc5fxDYFKvLGq1p/Fq7TXJicNPmxv/P/T82no/UzBoc9XHuTl+buoF+TJwnE91YZMREREpIJQAr2EKu0iXUSkmrPb7ew8lsqCnfEs2JXA7vi0Qsebh/vQr2kY/ZqF0ijUW1+Xr87yc+DErsJJ9YSdhTcpbXEH3PhOwWZ/FdKhVfDNbZCXCQ36wZCvwcn1yp/Pbjc2TF032aicteUZ454hED0a2o0Cn5qlEvoVy8uGmJ9h8zdGW4yz3y5w9jRaybS+C2p3qTjfFighrT+LV2mvze/PGXso+Nc1qs/PfEskz2qj5xt/cCwlmwmDWzCsQy0HByoiIiIiZymBXkKVdpEuIiKFHD6VwcJdCSzYmcD6w0mc/7eZNiGVC1jzIXGP0VfdKxTq9aocSdiDK+Cb242e5A2vgzu+uvwkel427JxrJM6PbT43HtEeOjwATQdeXWK+rKQcNTbM3fINJB04N+5f10iktx5m9LqvBLT+LF6lvDbxO+CTHsY3We6aAw36Fhz6fnMc/5i1lSAvV1Y+1Vv7doiIiIhUIEqgl1ClXKSLiMhFJabnsOSvEyzYFc/yvYnahFSqlgNLYfoQo4K+0Q1w+1Rwcrn0eaePGC1aNk2FzFPGmMUVWtwG7cdAeNsyDbvU2O0Quxa2fA075xm94QEwGR+EtLkbGg8ov81Wr4DWn8WrdNfGZoMvr4Mjfxotj4ZMKzhkt9u5/r0V7I5P45/9G/FI7/oODFRERERE/k4J9BKqdIt0ERG5LBk5+azYe5IFOxNYvPsEKVl5Bcc8XCz0aGBsQtqjYTBBXhWw6lakKPuXwPShYM2BxjcavdstRWyia7fDoRXw5ycQ8wvYz3yY5BMB7e+FtiPAM6hcQy9VuRlGr/TN38DhlefGXX2hxa3Q+m7jg4EK9u0CrT+LV+muzeav4YdHjLZCY9cV+hbEsj0nGfnFOjxdLKx+uo82uhYRERGpYJRAL6FKt0gXEZErdrFNSAEiA9xpHelPm0g/Wtfyo1lNH1ydVKEuFdS+RTDjTiOJ3mQg3PbFuSR6TjpsmwnrPoWTu8+dU7eHsSlow+vB4uSYuMtK0sEzLV6mQ8qRc+PBjY0WLy2HgHeo4+I7j9afxatU1yYzCT5oB1lJ0Pdl6PpYocN3frqW1ftPcW+3uvz7xqYOClJEREREiqMEeglVqkW6iIiUmr9vQhqTkMbf/wZ0sZhpUtOHNpF+tKnlR+tIP2oFeGhDUqk49i6EmXeCNReaDoLez8KGL40+4TmpxhxnT2g1FDrcByFNHBpuubDZ4NByoyr9rx/PbRZrshi9qVvfZfSPL0nbmzKi9WfxKtW1+elx2DgFgpvAgysKfQtkW9xpBn64CieziWX/6k24X8VtKSQiIiJSXSmBXkKVapEuIiJlJjU7j21HUthyJJktR06zOfY0pzJyL5gX4OlC60gjmd6mlh8tI/zwddfX8sWBYn6DWXeDLa/weECUkTRvfSe4+TomNkfLToEdc40PFOLWnxv3CIQWd0CbuyCsRbmHpfVn8SrNtTmyHj7vC9hh9K9Qu0uhw49M38TP244zuE047wxp7ZAQRUREROTilEAvoUqzSBcRkXJlt9uJS85iU+y5hPquY6nkWm0XzK0f4lUoqd4o1Bsni9kBUUu1tfsX+HYE2PKhQT+jTUvUNWDWn8MCJ2OMRPrWmZCecG78pveg3ahyDUXrz+JVimtjzYdPe0P8Nmh1J9zycaHDh09l0Putpdjs8NsT3WkcVkHfh4iIiEg1d6VrzyrWDFNEROTKmEwmIgM8iAzw4ObW4QDk5Fv563gam89LqscmZbLvRDr7TqQzZ2McAO7OFlpE+Bq91CP9aFPLnzBfN0e+HanqGt8AY9eD2QJ+tRwdTcUU3Aj6vgTXjIf9i43NH/cuMD5wELkcGz43kuduvsafqb/5bMVBbHbo1ShYyXMRERGRKkgJdBERkWK4OlkKKs3POpWew9Y4I5m+5chptsSeJi0nn3UHk1h3MKlgXpiPG21q+dGutj/tavvTrKYvLk6qDpZSFFDX0RFUDhYnaNjfuOWkg6uXoyOSyiQtHpb817jf5z/gFVzo8Kn0HL7dYGxi+0CPqPKOTkRERETKgRLoIiIilyHQy5VrGodyTeNQAGw2OwcS09kce5rNZxLqu+NTiU/N5tcd8fy6Ix4AN2czLSP8iK7tT3Qdf9rVCsDXQ73URcqVkudyuRY8b2zQW7Ntka1/pq45TE6+jVYRvnSqF1D+8YmIiIhImVMCXURE5CqYzSbqh3hTP8Sb26MjAcjMzWd7XAqbYk+z8XASGw8nk5yZd0GVeoMQLyOZXjuA6Nr+1A70wGQyOeqtiIjI+Q4sg+2zARPc+I7RMuk8mbn5TFtzCIAHekbp97eIiIhIFaUEuoiISCnzcHGiY71AOtYLBKKw2+3sP5nBxsNJbDiUzMbDyRxIzGDviXT2nkhnxjrj6/9BXq60q+1HdO0A2tXxp7navoiIOEZ+Lvz8pHG//Rio2eaCKbM3xJGcmUftQA/6Nwsr5wBFREREpLwogS4iIlLGTCYT9UO8qB/ixZD2xoaPp9Jz2HjYSKZvOJzM9rgUEtNz+H1nAr/vTADA1clMqwg/2tXxJ/pML3U/DxdHvhURkephzQdwai94BsM1z19wON9q49MVBwAY070eFrOqz0VERESqKiXQRUREHCDQy5V+zcLod6ZqMTvPyo6jKWw4nHymSj3JaPtyKIl1h861fakf4lWQTI+uE0AdtX0RESldyYdh2ZvG/X6vgLvfBVN+2RFPXHIWgZ4u3N4uonzjExEREZFypQS6iIhIBeDmbCG6TgDRdQKgJ9jtdg4kZrDxUDIbDiex4XAyB05msO9EOvtOpDNz/dm2Ly40q+lLw1AvGoR60yjUm/ohXni66q94EZEr8tvTkJ8FtbtByzsuOGy32/lk2X4ARnapg5uz5YI5IiIiIlJ16F/XIiIiFZDJZCIq2IuoYC/uaG9sTpqUkXum5UsSGw8lsy0uhcT0XJbtOcmyPScLnR/h707DUO8zNy8ankmsK9EjInIRu3+BmF/A7AQD3oIivuGzat8pdh5Lxd3ZwvBOtR0QpIiIiIiUJyXQRUREKokATxf6Ng2lb9NQAHLyrew4mkpMfBp7Es7e0klMzyEuOYu45CyW7D5RcL7JBLUDPGhwXlK9Yag39YI9cXVSYl1E4KOPPuLNN98kPj6eVq1a8cEHH9ChQ4ci53766ad89dVX7NixA4B27drx6quvFju/wsvNhF+fMu53fgRCmhQ57ZPlRvX5kPaR+HtqXwoRERGRqk4JdBERkUrK1clCuzP90M+XnJFbKKF+9n5yZh6HTmVy6FQmC3clFMy3mE3UDvSgUah3oeR63SBPnC3m8n5bIuIgs2bNYty4cUyaNImOHTsyceJE+vfvT0xMDCEhIRfMX7p0KcOGDaNLly64ubnx+uuv069fP3bu3El4eLgD3sFVWvEWpMSCTwT0+FeRU3YcTWHF3kQsZhP3dqtbzgGKiIiIiCOY7Ha73dFBlKfU1FR8fX1JSUnBx8fH0eGIiIiUC7vdTmJ6LnvPJNNjEtIL7qdm5xd5jrPFRN0gTxqEetM41JsWEb60ivBTxaXIZaos68+OHTvSvn17PvzwQwBsNhuRkZE8+uijPP3005c832q14u/vz4cffsiIESNK9JoV5tqc3AMfdwFbHgz5GprcVOS0x2Zs5setx7i5dU3eG9qmnIMUERERkatxpWtPVaCLiIhUAyaTiWBvV4K9XelSP6hg3G63cyItp6ANzN6EdPacMH6m5+SfqWBP52eOF5wTGeBOywg/Wob70jLCjxYRvnhp01KRSi03N5eNGzfyzDPPFIyZzWauvfZa1qxZU6LnyMzMJC8vj4CAgLIKs2zY7fDLk0byvEE/aHxjkdOOJGXy83bjd+H9PeqVZ4QiIiIi4kD6166IiEg1ZjKZCPVxI9THjR4NgwvG7XY7x1KyjfYv8WnsOp7K9rgUDiRmcCQpiyNJWfy87fiZ54CoYK8zCXVfWkb60bSGjzYsFalEEhMTsVqthIaGFhoPDQ1l9+7dJXqOp556ipo1a3LttdcWOycnJ4ecnJyCx6mpqVcWcGna8R0cXA5ObnD9G0VuHArw+cqDWG12ujcIollN33IOUkREREQcRQl0ERERuYDJZCLcz51wP3d6NzrX+zglK48dR1PYGnea7XEpbItL4ejpLPadSGffiXTmbj4KgJPZRMNQb1pFnqlSD/elUZi3eqqLVFGvvfYaM2fOZOnSpbi5uRU7b8KECbz44ovlGNklZKfA788a97s/CQFF9zVPzshl1vojADzQI6q8ohMRERGRCkAJdBERESkxX3dnutYPout5bWAS03PYHmck1bfFpbAt7jSJ6bnsOp7KruOpzFhnJJ1cncw0relDqzMJ9VaRvtQL8sJsLrraU0TKT1BQEBaLhYSEhELjCQkJhIWFXfTct956i9dee41FixbRsmXLi8595plnGDduXMHj1NRUIiMjrzzwq/XHBEhPgIAo6PJYsdOmrT1MVp6VZjV96Fo/sBwDFBERERFHUwJdRERErkqQlyu9G4fQu7FRqX62/cv2uNNsPZNQ3xaXQlp2PptjT7M59nTBuV6uTjSr6UOrSD9aRvjSvKYvtQI8lFQXKWcuLi60a9eOxYsXM2jQIMDYRHTx4sWMHTu22PPeeOMNXnnlFX7//Xeio6Mv+Tqurq64urqWVthX5/g2WPeJcf+GN8G56Mr57DwrU1YfAuCBnlGYimnxIiIiIiJVkxLoIiIiUqr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      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_training_results(train_losses, to_cpu(train_top1_accs), to_cpu(train_top5_accs), val_losses, to_cpu(val_top1_accs), to_cpu(val_top5_accs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b06a3b9d-c02f-4707-8d10-1d87a5a8a9ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('baseline.pkl', 'wb') as f:\n",
    "    pickle.dump([\n",
    "        net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs)\n",
    "    ], f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3012910e-a28e-4def-872d-6a46d9e72b64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/9 轮训练\n",
      "----------\n",
      "train 损失: 1.0434 Top-1 准确率: 0.6954 Top-5 准确率: 0.9218\n",
      "val 损失: 1.3683 Top-1 准确率: 0.6338 Top-5 准确率: 0.8816\n",
      "\n",
      "第 1/9 轮训练\n",
      "----------\n",
      "train 损失: 1.0304 Top-1 准确率: 0.6974 Top-5 准确率: 0.9236\n",
      "val 损失: 1.4244 Top-1 准确率: 0.6238 Top-5 准确率: 0.8739\n",
      "\n",
      "第 2/9 轮训练\n",
      "----------\n",
      "train 损失: 0.9962 Top-1 准确率: 0.7069 Top-5 准确率: 0.9285\n",
      "val 损失: 1.3603 Top-1 准确率: 0.6380 Top-5 准确率: 0.8828\n",
      "\n",
      "第 3/9 轮训练\n",
      "----------\n",
      "train 损失: 0.9742 Top-1 准确率: 0.7146 Top-5 准确率: 0.9317\n",
      "val 损失: 1.3270 Top-1 准确率: 0.6504 Top-5 准确率: 0.8893\n",
      "\n",
      "第 4/9 轮训练\n",
      "----------\n",
      "train 损失: 0.9397 Top-1 准确率: 0.7198 Top-5 准确率: 0.9357\n",
      "val 损失: 1.3224 Top-1 准确率: 0.6505 Top-5 准确率: 0.8894\n",
      "\n",
      "第 5/9 轮训练\n",
      "----------\n",
      "train 损失: 0.9258 Top-1 准确率: 0.7254 Top-5 准确率: 0.9364\n",
      "val 损失: 1.3601 Top-1 准确率: 0.6478 Top-5 准确率: 0.8887\n",
      "\n",
      "第 6/9 轮训练\n",
      "----------\n",
      "train 损失: 0.9092 Top-1 准确率: 0.7314 Top-5 准确率: 0.9386\n",
      "val 损失: 1.4151 Top-1 准确率: 0.6419 Top-5 准确率: 0.8817\n",
      "\n",
      "第 7/9 轮训练\n",
      "----------\n",
      "train 损失: 0.8902 Top-1 准确率: 0.7346 Top-5 准确率: 0.9410\n",
      "val 损失: 1.3571 Top-1 准确率: 0.6541 Top-5 准确率: 0.8895\n",
      "\n",
      "第 8/9 轮训练\n",
      "----------\n",
      "train 损失: 0.8556 Top-1 准确率: 0.7441 Top-5 准确率: 0.9453\n",
      "val 损失: 1.4363 Top-1 准确率: 0.6403 Top-5 准确率: 0.8852\n",
      "\n",
      "第 9/9 轮训练\n",
      "----------\n",
      "train 损失: 0.8429 Top-1 准确率: 0.7504 Top-5 准确率: 0.9459\n",
      "val 损失: 1.3213 Top-1 准确率: 0.6592 Top-5 准确率: 0.8931\n",
      "\n",
      "训练完成，耗时 13m 53s\n",
      "最佳验证集准确率: 0.659200\n"
     ]
    }
   ],
   "source": [
    "net2, (train_losses2, train_top1_accs2, train_top5_accs2, val_losses2, val_top1_accs2, val_top5_accs2) = train_model(trainloader, net, criterion, optimizer, device, scheduler, num_epochs=10, testloader = testloader)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a35b13b-2d28-458b-8b67-27cd3adeaeb3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6aaf8c94-ebe8-4281-bf81-578e3e7820e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/14 轮训练\n",
      "----------\n",
      "train 损失: 0.8294 Top-1 准确率: 0.7503 Top-5 准确率: 0.9485\n",
      "val 损失: 1.4346 Top-1 准确率: 0.6370 Top-5 准确率: 0.8796\n",
      "\n",
      "第 1/14 轮训练\n",
      "----------\n",
      "train 损失: 0.8168 Top-1 准确率: 0.7556 Top-5 准确率: 0.9486\n",
      "val 损失: 1.3947 Top-1 准确率: 0.6491 Top-5 准确率: 0.8863\n",
      "\n",
      "第 2/14 轮训练\n",
      "----------\n",
      "train 损失: 0.7940 Top-1 准确率: 0.7610 Top-5 准确率: 0.9514\n",
      "val 损失: 1.3514 Top-1 准确率: 0.6614 Top-5 准确率: 0.8970\n",
      "\n",
      "第 3/14 轮训练\n",
      "----------\n",
      "train 损失: 0.7713 Top-1 准确率: 0.7677 Top-5 准确率: 0.9545\n",
      "val 损失: 1.3676 Top-1 准确率: 0.6604 Top-5 准确率: 0.8911\n",
      "\n",
      "第 4/14 轮训练\n",
      "----------\n",
      "train 损失: 0.7532 Top-1 准确率: 0.7725 Top-5 准确率: 0.9558\n",
      "val 损失: 1.3967 Top-1 准确率: 0.6525 Top-5 准确率: 0.8927\n",
      "\n",
      "第 5/14 轮训练\n",
      "----------\n",
      "train 损失: 0.7471 Top-1 准确率: 0.7742 Top-5 准确率: 0.9563\n",
      "val 损失: 1.3753 Top-1 准确率: 0.6620 Top-5 准确率: 0.8950\n",
      "\n",
      "第 6/14 轮训练\n",
      "----------\n",
      "train 损失: 0.7247 Top-1 准确率: 0.7819 Top-5 准确率: 0.9589\n",
      "val 损失: 1.3353 Top-1 准确率: 0.6717 Top-5 准确率: 0.8975\n",
      "\n",
      "第 7/14 轮训练\n",
      "----------\n",
      "train 损失: 0.7100 Top-1 准确率: 0.7853 Top-5 准确率: 0.9602\n",
      "val 损失: 1.3221 Top-1 准确率: 0.6751 Top-5 准确率: 0.8998\n",
      "\n",
      "第 8/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6978 Top-1 准确率: 0.7867 Top-5 准确率: 0.9613\n",
      "val 损失: 1.4279 Top-1 准确率: 0.6488 Top-5 准确率: 0.8846\n",
      "\n",
      "第 9/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6848 Top-1 准确率: 0.7912 Top-5 准确率: 0.9629\n",
      "val 损失: 1.4243 Top-1 准确率: 0.6587 Top-5 准确率: 0.8900\n",
      "\n",
      "第 10/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6682 Top-1 准确率: 0.7974 Top-5 准确率: 0.9641\n",
      "val 损失: 1.4055 Top-1 准确率: 0.6677 Top-5 准确率: 0.8955\n",
      "\n",
      "第 11/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6506 Top-1 准确率: 0.8005 Top-5 准确率: 0.9659\n",
      "val 损失: 1.4523 Top-1 准确率: 0.6562 Top-5 准确率: 0.8912\n",
      "\n",
      "第 12/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6375 Top-1 准确率: 0.8049 Top-5 准确率: 0.9674\n",
      "val 损失: 1.3621 Top-1 准确率: 0.6700 Top-5 准确率: 0.9001\n",
      "\n",
      "第 13/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6310 Top-1 准确率: 0.8056 Top-5 准确率: 0.9679\n",
      "val 损失: 1.3816 Top-1 准确率: 0.6766 Top-5 准确率: 0.8976\n",
      "\n",
      "第 14/14 轮训练\n",
      "----------\n",
      "train 损失: 0.6169 Top-1 准确率: 0.8088 Top-5 准确率: 0.9689\n",
      "val 损失: 1.4288 Top-1 准确率: 0.6660 Top-5 准确率: 0.8963\n",
      "\n",
      "训练完成，耗时 20m 5s\n",
      "最佳验证集准确率: 0.676600\n"
     ]
    }
   ],
   "source": [
    "net3, (train_losses3, train_top1_accs3, train_top5_accs3, val_losses3, val_top1_accs3, val_top5_accs3) = train_model(trainloader, net2, criterion, optimizer, device, scheduler, num_epochs=15, testloader = testloader)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "416a1cff-ff76-4c04-8b44-b2704982fbe9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6515a9de-44af-4c74-8b34-8e1b7d514b86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5612\n",
      "Accuracy for class: apple is 78.0 %\n",
      "Accuracy for class: aquarium_fish is 68.0 %\n",
      "Accuracy for class: baby  is 42.0 %\n",
      "Accuracy for class: bear  is 26.0 %\n",
      "Accuracy for class: beaver is 38.0 %\n",
      "Accuracy for class: bed   is 51.0 %\n",
      "Accuracy for class: bee   is 61.0 %\n",
      "Accuracy for class: beetle is 59.0 %\n",
      "Accuracy for class: bicycle is 69.0 %\n",
      "Accuracy for class: bottle is 67.0 %\n",
      "Accuracy for class: bowl  is 45.0 %\n",
      "Accuracy for class: boy   is 36.0 %\n",
      "Accuracy for class: bridge is 61.0 %\n",
      "Accuracy for class: bus   is 45.0 %\n",
      "Accuracy for class: butterfly is 49.0 %\n",
      "Accuracy for class: camel is 51.0 %\n",
      "Accuracy for class: can   is 55.0 %\n",
      "Accuracy for class: castle is 79.0 %\n",
      "Accuracy for class: caterpillar is 54.0 %\n",
      "Accuracy for class: cattle is 43.0 %\n",
      "Accuracy for class: chair is 80.0 %\n",
      "Accuracy for class: chimpanzee is 72.0 %\n",
      "Accuracy for class: clock is 50.0 %\n",
      "Accuracy for class: cloud is 77.0 %\n",
      "Accuracy for class: cockroach is 72.0 %\n",
      "Accuracy for class: couch is 47.0 %\n",
      "Accuracy for class: crab  is 54.0 %\n",
      "Accuracy for class: crocodile is 39.0 %\n",
      "Accuracy for class: cup   is 76.0 %\n",
      "Accuracy for class: dinosaur is 55.0 %\n",
      "Accuracy for class: dolphin is 59.0 %\n",
      "Accuracy for class: elephant is 52.0 %\n",
      "Accuracy for class: flatfish is 39.0 %\n",
      "Accuracy for class: forest is 49.0 %\n",
      "Accuracy for class: fox   is 54.0 %\n",
      "Accuracy for class: girl  is 34.0 %\n",
      "Accuracy for class: hamster is 53.0 %\n",
      "Accuracy for class: house is 56.0 %\n",
      "Accuracy for class: kangaroo is 42.0 %\n",
      "Accuracy for class: keyboard is 64.0 %\n",
      "Accuracy for class: lamp  is 48.0 %\n",
      "Accuracy for class: lawn_mower is 76.0 %\n",
      "Accuracy for class: leopard is 60.0 %\n",
      "Accuracy for class: lion  is 64.0 %\n",
      "Accuracy for class: lizard is 28.0 %\n",
      "Accuracy for class: lobster is 30.0 %\n",
      "Accuracy for class: man   is 27.0 %\n",
      "Accuracy for class: maple_tree is 56.0 %\n",
      "Accuracy for class: motorcycle is 87.0 %\n",
      "Accuracy for class: mountain is 75.0 %\n",
      "Accuracy for class: mouse is 37.0 %\n",
      "Accuracy for class: mushroom is 54.0 %\n",
      "Accuracy for class: oak_tree is 66.0 %\n",
      "Accuracy for class: orange is 86.0 %\n",
      "Accuracy for class: orchid is 69.0 %\n",
      "Accuracy for class: otter is 28.0 %\n",
      "Accuracy for class: palm_tree is 77.0 %\n",
      "Accuracy for class: pear  is 61.0 %\n",
      "Accuracy for class: pickup_truck is 64.0 %\n",
      "Accuracy for class: pine_tree is 61.0 %\n",
      "Accuracy for class: plain is 85.0 %\n",
      "Accuracy for class: plate is 61.0 %\n",
      "Accuracy for class: poppy is 64.0 %\n",
      "Accuracy for class: porcupine is 52.0 %\n",
      "Accuracy for class: possum is 36.0 %\n",
      "Accuracy for class: rabbit is 35.0 %\n",
      "Accuracy for class: raccoon is 56.0 %\n",
      "Accuracy for class: ray   is 40.0 %\n",
      "Accuracy for class: road  is 83.0 %\n",
      "Accuracy for class: rocket is 76.0 %\n",
      "Accuracy for class: rose  is 56.0 %\n",
      "Accuracy for class: sea   is 71.0 %\n",
      "Accuracy for class: seal  is 19.0 %\n",
      "Accuracy for class: shark is 48.0 %\n",
      "Accuracy for class: shrew is 43.0 %\n",
      "Accuracy for class: skunk is 71.0 %\n",
      "Accuracy for class: skyscraper is 78.0 %\n",
      "Accuracy for class: snail is 39.0 %\n",
      "Accuracy for class: snake is 52.0 %\n",
      "Accuracy for class: spider is 61.0 %\n",
      "Accuracy for class: squirrel is 29.0 %\n",
      "Accuracy for class: streetcar is 64.0 %\n",
      "Accuracy for class: sunflower is 79.0 %\n",
      "Accuracy for class: sweet_pepper is 48.0 %\n",
      "Accuracy for class: table is 48.0 %\n",
      "Accuracy for class: tank  is 70.0 %\n",
      "Accuracy for class: telephone is 62.0 %\n",
      "Accuracy for class: television is 67.0 %\n",
      "Accuracy for class: tiger is 62.0 %\n",
      "Accuracy for class: tractor is 64.0 %\n",
      "Accuracy for class: train is 61.0 %\n",
      "Accuracy for class: trout is 73.0 %\n",
      "Accuracy for class: tulip is 47.0 %\n",
      "Accuracy for class: turtle is 26.0 %\n",
      "Accuracy for class: wardrobe is 83.0 %\n",
      "Accuracy for class: whale is 62.0 %\n",
      "Accuracy for class: willow_tree is 44.0 %\n",
      "Accuracy for class: wolf  is 55.0 %\n",
      "Accuracy for class: woman is 29.0 %\n",
      "Accuracy for class: worm  is 58.0 %\n"
     ]
    }
   ],
   "source": [
    "show_all_class_acc(classes, testloader, net, device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37015137-6e99-4720-aaa0-1146bb2f4e09",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3e6bcd8-be18-43cf-afe4-4a35930a24cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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